{"id":"W2911268485","doi":"","title":"Research Impact Responsibilities: Policy Alternatives for Canada","year":2019,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Political science; Business; Environmental planning; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"evaluation","study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"evaluation","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1083281,0.001866517,0.001867983,0.01039845,0.0260301,0.04820147,0.01149488,0.02490208,0.01262368],"category_scores_gemma":[0.211126,0.002322291,0.003335764,0.01203499,0.02313569,0.01780089,0.01325417,0.01854073,0.0009776624],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2833072,"about_ca_system_score_gemma":0.6587355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517678,"about_ca_topic_score_gemma":0.9542939,"domain_scores_codex":[0.8514155,0.03627202,0.009340782,0.00959568,0.05997393,0.03340212],"domain_scores_gemma":[0.744462,0.1126001,0.008244757,0.01099364,0.09459859,0.02910095],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002439186,0.0001565955,0.004916551,0.0008279654,0.0001121886,0.0004026173,0.003672473,0.00508566,0.0006771142,0.9020106,0.04505204,0.03684242],"study_design_scores_gemma":[0.0008437041,0.0004143555,0.02464997,0.005410338,0.0008567029,0.0003903235,0.0219899,0.01573553,0.002912663,0.3470345,0.5789508,0.0008113247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02229464,0.007902675,0.01737373,0.7166723,0.002241735,0.002841757,0.001692737,0.0004819673,0.2284985],"genre_scores_gemma":[0.5400721,0.01137525,0.1097665,0.2526798,0.001557626,0.005133244,0.001496768,0.0003441313,0.0775746],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9896016,"threshold_uncertainty_score":0.8312621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2125347363266677,"score_gpt":0.4713720689529445,"score_spread":0.2588373326262768,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}