{"id":"W4234090756","doi":"10.4000/economierurale.2960","title":"Varia","year":2011,"lang":"fr","type":"paratext","venue":"Économie rurale","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002912912,0.0007243227,0.0008147439,0.00004195084,0.0005969313,0.0002650586,0.001192953,0.001065274,0.3431415],"category_scores_gemma":[0.00003489027,0.0002739741,0.0004527546,0.0004589609,0.0003388016,0.0003520081,0.0004975731,0.0008224619,0.3174355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122097,"about_ca_system_score_gemma":0.0001648289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179118,"about_ca_topic_score_gemma":0.000573307,"domain_scores_codex":[0.9966335,0.0002075612,0.0006954627,0.0009539101,0.0002639888,0.001245595],"domain_scores_gemma":[0.9985117,0.0002813033,0.0003073736,0.0001894448,0.0001870328,0.0005231688],"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":[0.00004052499,0.0001596154,0.0007624777,0.00006363927,0.0001534409,0.00002962204,0.00008737742,0.000002702952,0.001989658,0.01331044,0.8977661,0.0856344],"study_design_scores_gemma":[0.0001839449,0.0002934403,0.03358366,0.0001666028,0.00005087977,0.00004633538,0.0001617426,0.00001777571,0.0009889127,0.002101561,0.9615183,0.000886815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02727791,0.008289875,0.00001007041,0.0305399,0.006174633,0.001118807,0.0003632713,0.000106775,0.9261187],"genre_scores_gemma":[0.01172432,0.004752472,0.0002720107,0.0007061301,0.003694868,0.00009497326,0.001208067,0.000006940995,0.9775402],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08474759,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555210587340354,"score_gpt":0.2316229516982163,"score_spread":0.1960708458248128,"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."}}