{"id":"W4385197718","doi":"10.7202/1101727ar","title":"Mesure de la proportion de publication en libre accès au Canada, un portrait national","year":2023,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Portrait; Political science; Art; Humanities; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.003164262,0.0003430374,0.0006958956,0.01840032,0.003325148,0.005665533,0.0007509692,0.0004996465,0.01532813],"category_scores_gemma":[0.02457527,0.0002873268,0.0007107733,0.0456722,0.001364756,0.002036972,0.001669904,0.0009926524,0.001896465],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02658487,"about_ca_system_score_gemma":0.06098346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9543511,"about_ca_topic_score_gemma":0.9734651,"domain_scores_codex":[0.9931453,0.0005252836,0.0005640438,0.0008006392,0.00409689,0.0008678547],"domain_scores_gemma":[0.9450126,0.00779076,0.007695385,0.001403098,0.03387023,0.004227835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003689548,0.00003991951,0.5848163,0.003286032,0.0007214918,0.0005381922,0.01766899,0.001000296,0.00273881,0.03113566,0.08116784,0.2765175],"study_design_scores_gemma":[0.00001102304,0.00003118111,0.755057,0.0007675242,0.0001826193,0.000358836,0.008015195,0.0005235473,0.0007993215,0.0008716922,0.2333152,0.0000668544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4962484,0.0721706,0.004514317,0.02640954,0.0008502678,0.0002225404,0.1092535,0.001229727,0.2891011],"genre_scores_gemma":[0.872689,0.03200813,0.003877356,0.001547738,0.0002539535,0.0001212877,0.01857853,0.0002815038,0.07064256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.999249,"threshold_uncertainty_score":0.1928876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660166282376448,"score_gpt":0.5226730294955413,"score_spread":0.3566564012578965,"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."}}