{"id":"W6963985406","doi":"10.25318/1810019901-fra","title":"Indices des prix de l'industrie pour la viande, poisson, produits laitiers, fruits, légumes, aliments pour animaux, boissons et tabac (2002=100)","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organoleptic; Food processing; Green food","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":[0.000807584,0.00159118,0.001395505,0.005177644,0.0007918888,0.002071545,0.002001017,0.000993652,0.0295914],"category_scores_gemma":[0.005747497,0.0006208328,0.001296935,0.01445809,0.0003981508,0.0009246463,0.000875165,0.001570913,0.02127579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007254222,"about_ca_system_score_gemma":0.01231743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8189751,"about_ca_topic_score_gemma":0.8572879,"domain_scores_codex":[0.9991572,0.00007013093,0.0001036372,0.000188167,0.0003107058,0.0001701659],"domain_scores_gemma":[0.9963394,0.0005320238,0.0004006436,0.0002671494,0.00220319,0.0002575681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000749407,0.00001913213,0.008289427,0.0009607387,0.00006610612,0.00001770258,0.00004030171,0.0003354709,0.0000639029,0.0005719197,0.9860189,0.003541348],"study_design_scores_gemma":[0.0002212314,0.00002193186,0.0952075,0.0006947509,0.00009710246,0.00006776873,0.0003313495,0.0005482074,0.0002759528,0.0005143016,0.9019659,0.00005406437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002380552,0.0001111344,0.00001993786,0.00004213621,0.00001242463,0.000004881324,0.9990231,0.00003448526,0.0005138526],"genre_scores_gemma":[0.001377508,0.0002562989,0.000164226,0.00004149339,0.000009562164,0.00003828544,0.9962522,0.00002032095,0.001840031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1810249,"threshold_uncertainty_score":0.364182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653325021035823,"score_gpt":0.2918641442325249,"score_spread":0.2753308940221667,"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."}}