{"id":"W7023956993","doi":"","title":"Peinture par numéros. Portrait des chiffriers au Québec de 2013 à 2022","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portrait; Painting; Feature (linguistics); Focus (optics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163107,0.0004614118,0.0002755798,0.001665039,0.003977852,0.001653592,0.0006141467,0.0005272871,0.05264656],"category_scores_gemma":[0.0008594061,0.0002553051,0.0003943577,0.003762037,0.0009137344,0.0005511272,0.0006770742,0.001228613,0.004855226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02346635,"about_ca_system_score_gemma":0.0165298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9877195,"about_ca_topic_score_gemma":0.9948821,"domain_scores_codex":[0.9996737,0.00002425919,0.00001103662,0.000044857,0.0001045388,0.0001415425],"domain_scores_gemma":[0.9994246,0.00004145271,0.00005583681,0.00001935792,0.0003448062,0.0001139158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004432168,0.00008736125,0.09898741,0.0004995487,0.00007363651,0.001444158,0.007647627,0.002205622,0.001941215,0.03881492,0.6492888,0.1985666],"study_design_scores_gemma":[0.00001816192,0.00002273295,0.182819,0.0001781853,0.0000139938,0.0002440989,0.004595586,0.0004934549,0.0002468402,0.0004967537,0.8108401,0.0000311216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2361372,0.02176161,0.004605252,0.01557926,0.002191241,0.0002589161,0.1262218,0.001181666,0.5920631],"genre_scores_gemma":[0.356511,0.004905039,0.003058673,0.00092121,0.0001124748,0.0001287811,0.01478275,0.0002249286,0.6193551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05264656,"threshold_uncertainty_score":0.1761202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006901839678119893,"score_gpt":0.1962464619752321,"score_spread":0.1893446222971122,"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."}}