{"id":"W4200119498","doi":"10.1302/3114-210143","title":"CORS Paper Session: Top Canadian Research - Founder's Award Candidates Introduction","year":2021,"lang":"en","type":"dataset","venue":"OrthoMedia","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Library science; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","insufficient_payload"],"category_scores_codex":[0.0381736,0.0004611146,0.0009047055,0.1143686,0.00121356,0.007499018,0.005012549,0.0009863072,0.03802077],"category_scores_gemma":[0.09951277,0.0003439638,0.000297185,0.2233361,0.0006431615,0.0008655335,0.001814456,0.002718237,0.007163509],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343877,"about_ca_system_score_gemma":0.008069252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1411449,"about_ca_topic_score_gemma":0.4312436,"domain_scores_codex":[0.97148,0.001462089,0.001226592,0.002423294,0.02119027,0.00221771],"domain_scores_gemma":[0.9777973,0.006494556,0.0003549214,0.003658277,0.00891588,0.00277905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001156837,0.00007022651,0.003147352,0.00002449248,0.00003191568,0.0003979265,0.00002733781,0.000002586613,0.00001429283,0.00002434965,0.9758277,0.02042023],"study_design_scores_gemma":[0.0002105995,0.0001028648,0.004432399,0.00003014029,0.00001244886,0.00004484239,0.0004705284,0.00002392509,0.00002865866,0.0008263372,0.9934081,0.0004091182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001251796,0.002382382,0.000009523507,0.01297674,0.01009887,0.0004850647,0.9713566,0.00002339605,0.001415603],"genre_scores_gemma":[0.000892143,0.004748708,0.0001460933,0.0005003875,0.004928165,0.00008827216,0.9708709,0.00004221636,0.01778308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2900987,"threshold_uncertainty_score":0.9999012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.467735534153533,"score_gpt":0.5678674728009943,"score_spread":0.1001319386474612,"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."}}