{"id":"W7052348161","doi":"","title":"Questionnaire sur le patrimoine","year":2020,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Focus (optics); Census; Product (mathematics); State (computer science)","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":[0.004901718,0.0005431476,0.0005840854,0.001994054,0.0006707515,0.0007858959,0.0005195965,0.001177578,0.0240267],"category_scores_gemma":[0.01331719,0.000264997,0.0005397795,0.001033683,0.0006306466,0.0009349046,0.0007984582,0.001612866,0.006839896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827347,"about_ca_system_score_gemma":0.002287332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02467807,"about_ca_topic_score_gemma":0.0162703,"domain_scores_codex":[0.996436,0.001576102,0.0004072934,0.0002457844,0.0009264475,0.0004084064],"domain_scores_gemma":[0.9905635,0.004487738,0.001074632,0.0004809815,0.002586606,0.0008064359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00201851,0.003815936,0.2732468,0.00177786,0.0002173594,0.001729779,0.01927208,0.001876433,0.008033584,0.007750571,0.3333902,0.3468709],"study_design_scores_gemma":[0.000261751,0.0015003,0.3913176,0.0006502487,0.0000422401,0.001189848,0.003497914,0.001013637,0.002012552,0.0010033,0.597341,0.0001696502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6731887,0.006211948,0.02211785,0.02630362,0.003291717,0.01305578,0.09003184,0.00166142,0.164137],"genre_scores_gemma":[0.7702757,0.007417636,0.03033113,0.007446487,0.001261776,0.01356685,0.02936385,0.0002734607,0.1400631],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02467807,"threshold_uncertainty_score":0.08037728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301581680074679,"score_gpt":0.1958907677483912,"score_spread":0.1828749509476444,"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."}}