{"id":"W4298673575","doi":"","title":"Produire des fruits et légumes autrement","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007859378,0.0008072808,0.0005642753,0.001496921,0.0007505035,0.002757157,0.0005208411,0.0009983963,0.01907218],"category_scores_gemma":[0.001083194,0.0002968362,0.0009519787,0.001597648,0.0003761915,0.001301258,0.0007083268,0.001468,0.007584348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007133714,"about_ca_system_score_gemma":0.0007911986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276637,"about_ca_topic_score_gemma":0.006406285,"domain_scores_codex":[0.9992611,0.0001022872,0.00002563995,0.0002053791,0.0003460819,0.0000595767],"domain_scores_gemma":[0.9993107,0.0002202453,0.00005296295,0.0001140182,0.0002202396,0.00008173234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009959122,0.0003273646,0.002003426,0.002323313,0.0001087421,0.001286367,0.0009131302,0.00100677,0.7254716,0.004803186,0.01000077,0.2507594],"study_design_scores_gemma":[0.0001133072,0.0009293548,0.01072406,0.0002783293,0.0001114489,0.001246811,0.0003929264,0.000652019,0.2507936,0.001515609,0.7331824,0.00006007697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.499317,0.07638455,0.1270007,0.005571162,0.005487991,0.001310453,0.02707233,0.003630007,0.2542258],"genre_scores_gemma":[0.464334,0.03318194,0.1349133,0.001597841,0.000615151,0.0007130693,0.02256996,0.002176983,0.3398978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01907218,"threshold_uncertainty_score":0.06380278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767024241885889,"score_gpt":0.2468808824666376,"score_spread":0.2192106400477787,"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."}}