{"id":"W1715501616","doi":"10.7202/015851ar","title":"Une approche génétique pour le contrôle des moisissures nivéales sur les verts de golf","year":2007,"lang":"fr","type":"article","venue":"Phytoprotection","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00175141,0.0007660632,0.0009730017,0.001270893,0.001332256,0.001590295,0.001360456,0.001353442,0.004159448],"category_scores_gemma":[0.001204468,0.0003561921,0.001191894,0.0007669507,0.0008926066,0.0006209298,0.0007198145,0.001492711,0.000835804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00533024,"about_ca_system_score_gemma":0.006140288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1146977,"about_ca_topic_score_gemma":0.2128808,"domain_scores_codex":[0.9989617,0.0001315828,0.00002770928,0.0003520221,0.000397198,0.000129762],"domain_scores_gemma":[0.999138,0.0001445423,0.0000926296,0.00007952083,0.0004417358,0.0001034437],"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":[0.0003569536,0.0004710482,0.01017466,0.0007906099,0.0001852108,0.0002839284,0.0004660181,0.03042649,0.7339638,0.004694076,0.002826839,0.2153603],"study_design_scores_gemma":[0.0006157246,0.006438179,0.0927005,0.0008045775,0.001752649,0.0011835,0.002234742,0.1780938,0.409672,0.01195691,0.2941287,0.0004186907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3361405,0.00730361,0.6117633,0.006541048,0.0009654263,0.002490646,0.001857928,0.004501967,0.02843554],"genre_scores_gemma":[0.6165684,0.006362064,0.3271312,0.002918329,0.00009990497,0.001235249,0.001939354,0.0002935436,0.04345192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1146977,"threshold_uncertainty_score":0.2280601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193668529052609,"score_gpt":0.2344622841403383,"score_spread":0.2125255988498122,"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."}}