{"id":"W2157768779","doi":"","title":"Valorisation des résidus en terres agricoles au Québec et en France","year":2001,"lang":"fr","type":"article","venue":"Cahiers Agricultures","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Political science; Geography","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":[0.001009751,0.0004160556,0.0004925036,0.001259043,0.002963173,0.00136829,0.0005328336,0.0004500459,0.002247624],"category_scores_gemma":[0.0008289957,0.0001898645,0.0003652133,0.001584387,0.0008549148,0.0003435884,0.0003525695,0.0004058213,0.0002642562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01150735,"about_ca_system_score_gemma":0.006333868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8851485,"about_ca_topic_score_gemma":0.9690205,"domain_scores_codex":[0.9991609,0.0001086024,0.00002302696,0.0002102272,0.0003584468,0.0001388672],"domain_scores_gemma":[0.9992117,0.0001169572,0.0001010917,0.00002731854,0.00047937,0.0000635541],"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":[0.0009656685,0.000252317,0.2205048,0.001294535,0.000335905,0.001281105,0.006437624,0.01383176,0.5384501,0.002132708,0.001757516,0.212756],"study_design_scores_gemma":[0.00003883582,0.001339391,0.8092231,0.0001555009,0.0001908295,0.0003853763,0.005396183,0.003221085,0.1332483,0.0003330914,0.04636947,0.00009878978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894786,0.002092328,0.002106518,0.0001827505,0.00001014628,0.00004620279,0.0004691191,0.00004142215,0.005572812],"genre_scores_gemma":[0.9668444,0.002080562,0.00571467,0.0001022893,0.000004080722,0.0000419303,0.0005491427,0.00002525134,0.02463761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1148515,"threshold_uncertainty_score":0.2310558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078057726864863,"score_gpt":0.2401162703224796,"score_spread":0.2293356930538309,"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."}}