{"id":"W4410814324","doi":"10.61959/okoz6994f","title":"Insécurité alimentaire et finances familiales pendant la pandémie","year":2020,"lang":"fr","type":"report","venue":"","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology","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":[0.0005253577,0.0001919928,0.0001468621,0.0008573699,0.001783564,0.0009639431,0.0002744384,0.0004017544,0.004196102],"category_scores_gemma":[0.001158498,0.000134894,0.0002171308,0.001438824,0.0005016259,0.0003207625,0.0005764505,0.000718386,0.0002851107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008171821,"about_ca_system_score_gemma":0.01229276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8985993,"about_ca_topic_score_gemma":0.9384507,"domain_scores_codex":[0.9995618,0.00004075214,0.00001681356,0.00004478731,0.0001428913,0.0001929129],"domain_scores_gemma":[0.9991873,0.0000658194,0.0002273839,0.0000252852,0.0002863275,0.0002078528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002293062,0.0001111119,0.8766403,0.0002340799,0.00008497555,0.0008597684,0.004812331,0.0004757089,0.001009136,0.003638432,0.01415526,0.09774969],"study_design_scores_gemma":[0.000003116415,0.00004632756,0.9755317,0.0001552585,0.00002030242,0.0002110185,0.001815858,0.0001014131,0.000175512,0.0001482301,0.02178137,0.000009767655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933487,0.01088346,0.0005087106,0.007879756,0.0001260357,0.00008460352,0.01636293,0.00003193837,0.03063563],"genre_scores_gemma":[0.9458134,0.01563009,0.001371516,0.0006050111,0.0001053739,0.0001031452,0.009224864,0.00001323672,0.02713333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8985993,"threshold_uncertainty_score":0.2039956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06107269172979903,"score_gpt":0.2960456931947081,"score_spread":0.2349730014649091,"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."}}