{"id":"W2952218751","doi":"","title":"LES RÉSEAUX TROPHIQUES MICROBIENS DES MILIEUX AQUATIQUES ET TERRESTRES","year":2012,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry","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":[0.0005159658,0.0008102892,0.0004491505,0.001377329,0.001146626,0.002355447,0.0002341427,0.0006152716,0.004011126],"category_scores_gemma":[0.0007698144,0.000381239,0.000350292,0.0007747533,0.0008258377,0.0007955309,0.001028545,0.0006941182,0.001267033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008497856,"about_ca_system_score_gemma":0.0006547094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.014878,"about_ca_topic_score_gemma":0.01257747,"domain_scores_codex":[0.9996189,0.00007481159,0.00001740366,0.000131132,0.0001088394,0.00004892686],"domain_scores_gemma":[0.9996744,0.0000742433,0.00007254982,0.000021501,0.00008522791,0.00007207858],"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":[0.0004455539,0.00005469796,0.09605446,0.0007468604,0.0001617945,0.0007901093,0.002937526,0.001530715,0.8343007,0.004141787,0.001164528,0.0576713],"study_design_scores_gemma":[0.00002298221,0.0006459269,0.7458141,0.0002100621,0.0001325129,0.004285769,0.004815773,0.001867179,0.1649403,0.003934962,0.07322881,0.0001016626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960744,0.0129461,0.004314973,0.0007661865,0.0001729814,0.00003837029,0.001675533,0.0001131856,0.01922885],"genre_scores_gemma":[0.9688178,0.006582898,0.005364523,0.0001371751,0.00009461332,0.00004958388,0.0009912237,0.00004797006,0.0179142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.014878,"threshold_uncertainty_score":0.0295828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599547494655176,"score_gpt":0.2589104357866922,"score_spread":0.2329149608401404,"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."}}