{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008077461,0.0006385187,0.0007108705,0.0009176413,0.009702065,0.009824501,0.001466403,0.003900341,0.04037811],"category_scores_gemma":[0.01680407,0.0004531326,0.0006369735,0.0008616134,0.006100192,0.006593434,0.01003571,0.006098406,0.01631238],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00302833,"about_ca_system_score_gemma":0.007325521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281662,"about_ca_topic_score_gemma":0.03804274,"domain_scores_codex":[0.9901705,0.002894298,0.0001745633,0.00104519,0.002771941,0.002943355],"domain_scores_gemma":[0.976405,0.002320877,0.002023612,0.001651679,0.005139736,0.01245917],"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":[0.0001789294,0.000399083,0.02668017,0.0004982122,0.00006775552,0.00367055,0.05215184,0.000119684,0.003351747,0.02680152,0.5994599,0.2866207],"study_design_scores_gemma":[0.00001476578,0.0003763506,0.01797746,0.0006114258,0.00002563529,0.002730415,0.05004822,0.00008156808,0.000599466,0.005561632,0.9218808,0.0000923254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1298552,0.01910925,0.0041242,0.6278036,0.01389285,0.0001071829,0.0003280363,0.0008647068,0.2039151],"genre_scores_gemma":[0.542871,0.01035255,0.003695212,0.07674711,0.007831437,0.0001306965,0.0003633375,0.0007494444,0.3572592],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9969717,"threshold_uncertainty_score":0.1350783,"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."}}