{"id":"W6979957766","doi":"","title":"Anticipations des comportements des Québécois durant la pandémie de la COVID-19","year":2023,"lang":"fr","type":"other","venue":"","topic":"Plant-derived Lignans Synthesis and Bioactivity","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Rail transportation; Vulnerability (computing)","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":[0.001189154,0.0004030028,0.0003849115,0.0005687678,0.00142692,0.0008062065,0.0005184999,0.0005282827,0.004951797],"category_scores_gemma":[0.004089511,0.0003463026,0.0004857979,0.0005519873,0.0006001996,0.0004151015,0.0007823122,0.000850154,0.0002942735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003931322,"about_ca_system_score_gemma":0.003497431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7246873,"about_ca_topic_score_gemma":0.8735083,"domain_scores_codex":[0.9994808,0.0001494081,0.00002677269,0.00008526586,0.0001053338,0.0001523955],"domain_scores_gemma":[0.9970091,0.0005367271,0.0008561079,0.00007795326,0.0007514408,0.000768821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000410582,0.0001505863,0.9813727,0.00007873332,0.00009777161,0.0001528454,0.007198146,0.000235556,0.0006657784,0.00007365198,0.0006004059,0.008963202],"study_design_scores_gemma":[0.000002575315,0.000184881,0.996387,0.00002027606,0.00001506754,0.00001397061,0.002767788,0.000119995,0.00004713026,0.000009410081,0.0004239236,0.00000806243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982521,0.0002001307,0.0001213598,0.0001234897,0.00001528447,0.00003704323,0.0003207288,0.000004464022,0.0009254884],"genre_scores_gemma":[0.9932197,0.0003503054,0.0003491326,0.00005143613,0.000009876479,0.0000967258,0.0005419002,0.000002714667,0.005378191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2753127,"threshold_uncertainty_score":0.5538681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167337056053981,"score_gpt":0.3081121430394639,"score_spread":0.2764387724789241,"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."}}