{"id":"W7056493977","doi":"","title":"Évolution envrionnementale et aménagement hydraulique des fonds de vallées","year":2022,"lang":"fr","type":"other","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prospection; Ethnography; Quarter (Canadian coin)","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":[0.000641749,0.0001947001,0.0003547504,0.001478417,0.001240125,0.002002078,0.0003330396,0.0006705585,0.001760998],"category_scores_gemma":[0.001398852,0.0002969673,0.0003242893,0.002010044,0.001134474,0.0005715553,0.0009293474,0.0003944481,0.0003682251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003148824,"about_ca_system_score_gemma":0.002519214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1751656,"about_ca_topic_score_gemma":0.3100916,"domain_scores_codex":[0.9995624,0.00004812785,0.00001558848,0.0001270673,0.0001544433,0.0000923612],"domain_scores_gemma":[0.9993048,0.0001228678,0.0001978167,0.00004751373,0.0002297922,0.00009713416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002643307,0.00004410132,0.8594195,0.0002565892,0.0001563073,0.000767348,0.01115057,0.005879961,0.04379583,0.003488075,0.001240611,0.07353689],"study_design_scores_gemma":[0.000006738978,0.00004637482,0.9789083,0.00003920095,0.00002493034,0.0001360389,0.002921509,0.00130248,0.001078497,0.0003081533,0.01519962,0.00002826103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988739,0.0007043527,0.001516031,0.0002614362,0.00001067305,0.00001268039,0.0007744734,0.0000807866,0.007900442],"genre_scores_gemma":[0.9934512,0.0003386834,0.001691041,0.00002990948,0.000005475671,0.00001603901,0.0003845553,0.00002591878,0.004057097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751656,"threshold_uncertainty_score":0.3482921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674943244807027,"score_gpt":0.2355494180688148,"score_spread":0.2187999856207445,"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."}}