{"id":"W2803672842","doi":"10.1126/science.360.6390.699","title":"Boycott highlights AI's publishing rebellion","year":2018,"lang":"en","type":"article","venue":"Science","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Boycott; Publishing; Political science; Library science; Scientific publishing; Media studies; World Wide Web; Computer science; Law; Sociology; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0282566,0.001249773,0.001862328,0.005545931,0.009209849,0.02370604,0.003486299,0.02355458,0.02183249],"category_scores_gemma":[0.1174747,0.0007926226,0.001870162,0.005009115,0.005441256,0.01000746,0.003083376,0.03165524,0.01322446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008836573,"about_ca_system_score_gemma":0.0199592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008602285,"about_ca_topic_score_gemma":0.02662727,"domain_scores_codex":[0.9599274,0.004146534,0.002682376,0.002724069,0.02789703,0.002622634],"domain_scores_gemma":[0.7623237,0.09306765,0.01154599,0.007267299,0.07858476,0.0472106],"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":[0.00001259436,0.00001103921,0.00009902497,0.00007931289,0.00001008958,0.0001084949,0.00008257631,0.00001144926,0.00005945406,0.001445415,0.9912099,0.006870736],"study_design_scores_gemma":[0.00001187898,0.00002217819,0.0003081768,0.0001534251,0.00001167884,0.0001386758,0.00023285,0.00006218884,0.0001602498,0.001339936,0.9975438,0.00001485962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000213198,0.006106057,0.0002428216,0.7857925,0.1989853,0.00002223564,0.00008686703,0.0001942239,0.008356783],"genre_scores_gemma":[0.005904671,0.0117554,0.0008207495,0.6409906,0.2660026,0.00006593773,0.0001379595,0.0003671771,0.07395497],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.976294,"threshold_uncertainty_score":0.149437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1499562342918879,"score_gpt":0.4481184594567736,"score_spread":0.2981622251648858,"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."}}