{"id":"W4302071158","doi":"10.1007/978-1-4939-7131-2_101022","title":"Scholarly Communication","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["scholarly_communication"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008422863,0.0008359649,0.0008962093,0.004071234,0.002908111,0.01033489,0.001203497,0.002283871,0.7449154],"category_scores_gemma":[0.004223859,0.0003665985,0.0004717174,0.006102578,0.002045335,0.003595942,0.003451168,0.002468383,0.6442611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002575693,"about_ca_system_score_gemma":0.003459466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890056,"about_ca_topic_score_gemma":0.004856221,"domain_scores_codex":[0.999003,0.00009403631,0.00003575743,0.0001694916,0.0005960027,0.0001016699],"domain_scores_gemma":[0.9983521,0.0002012522,0.0000690485,0.0004050959,0.0007102641,0.0002622777],"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":[0.00001906605,0.00003686149,0.0001147714,0.0002095833,0.000003842396,0.00003354421,0.0001476558,0.00008275307,0.0002734547,0.02366485,0.8100668,0.1653468],"study_design_scores_gemma":[0.000001582528,0.00000304029,0.00009126658,0.000106552,0.000001175396,0.00001450071,0.00008168726,0.00002125091,0.0000756457,0.001710119,0.9978914,0.000001787954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0002502375,0.001440236,0.0002971743,0.002855445,0.003281269,0.00002517816,0.0003824745,0.0002056638,0.9912622],"genre_scores_gemma":[0.0007224683,0.0009061286,0.00007784937,0.0003789897,0.0004017377,0.00001262271,0.0001889238,0.00007251158,0.9972389],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9896651,"threshold_uncertainty_score":0.3638473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627297693501515,"score_gpt":0.2245357455669756,"score_spread":0.1882627686319605,"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."}}