{"id":"W6983091719","doi":"","title":"Le scientifique en chef, les fonds de recherche du Québec et la science ouverte","year":2018,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); History of science; Sociology of scientific knowledge; Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":true,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00300857,0.001516665,0.001474143,0.005588139,0.007367604,0.01018965,0.003100754,0.004867064,0.3666949],"category_scores_gemma":[0.01197682,0.0008772062,0.001272004,0.006449303,0.002051406,0.002091652,0.002242872,0.004275554,0.08550104],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0722601,"about_ca_system_score_gemma":0.155257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786667,"about_ca_topic_score_gemma":0.9848731,"domain_scores_codex":[0.9959671,0.0002177247,0.0001456711,0.0003008188,0.002110749,0.001257845],"domain_scores_gemma":[0.9862486,0.000928754,0.0003095767,0.001045411,0.008868909,0.002598829],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001015031,0.00006150865,0.001956085,0.0001904587,0.00002821103,0.0000695972,0.0001502645,0.0002204666,0.0001328355,0.02055102,0.9421678,0.03437023],"study_design_scores_gemma":[0.00004011767,0.00001347354,0.007948059,0.0001768047,0.00001381085,0.00002677827,0.0001359905,0.0002626262,0.0002470547,0.001049749,0.9900608,0.00002487556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003407652,0.005767054,0.001055738,0.0139237,0.00275353,0.0004106366,0.08592761,0.001592638,0.8851614],"genre_scores_gemma":[0.008712949,0.001047181,0.0006142607,0.0008399027,0.0001462344,0.0001065082,0.0070149,0.0003366225,0.9811816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9969915,"threshold_uncertainty_score":0.9033329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895020015171291,"score_gpt":0.2850818505786706,"score_spread":0.2561316504269577,"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."}}