{"id":"W4415258602","doi":"10.17118/11143/23403","title":"Être répondante locale Performa : une chance incroyable","year":2023,"lang":"fr","type":"article","venue":"Performa","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Locale (computer software); Point (geometry); Collectable","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007142702,0.0003954506,0.0003746829,0.00005777968,0.001222447,0.0002072311,0.0006568453,0.0003563309,0.01056538],"category_scores_gemma":[0.00004240439,0.0001580271,0.0002016934,0.002873993,0.0003016536,0.0007413303,0.0004941169,0.0006133444,0.02533066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202094,"about_ca_system_score_gemma":0.00007287887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686636,"about_ca_topic_score_gemma":0.0005295919,"domain_scores_codex":[0.9966711,0.00009690393,0.0004465466,0.0005313354,0.0007193367,0.001534774],"domain_scores_gemma":[0.999036,0.0001336148,0.0001059123,0.000131113,0.0002053586,0.0003879648],"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":[0.00009253048,0.0001948839,0.02010513,0.0002882758,0.00006415883,0.0001450274,0.001513426,0.0001860674,0.01174854,0.001741384,0.5964586,0.3674619],"study_design_scores_gemma":[0.0002835831,0.0004319031,0.2170966,0.0002235711,0.0000199825,0.00007376888,0.002168423,0.007104026,0.003736312,0.0004407102,0.7678508,0.0005704114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501127,0.003605434,0.000004423047,0.1123737,0.00160091,0.0004749786,0.00007954383,0.0002743536,0.03147401],"genre_scores_gemma":[0.5709599,0.006578577,0.0000358355,0.0004744448,0.001254002,0.00004665217,0.0002878364,0.000004075584,0.4203587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3888847,"threshold_uncertainty_score":0.9903391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182935106892135,"score_gpt":0.2420231837593803,"score_spread":0.2237296730701668,"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."}}