{"id":"W4283773469","doi":"10.29393/rd251-7accc10007","title":"UN ANÁLISIS DE LA CAUSALIDAD EN LAS SENTENCIAS DE RESPONSABILIDAD POR DAÑO AMBIENTAL ANTE LOS TRIBUNALES AMBIENTALES","year":2022,"lang":"es","type":"article","venue":"Revista de derecho","topic":"Legal processes and jurisprudence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.01299165,0.0004599758,0.0005277603,0.003471485,0.001991875,0.005721695,0.001030349,0.001228858,0.01336757],"category_scores_gemma":[0.05896151,0.0004115722,0.0008443812,0.00454444,0.007253902,0.005220468,0.003109472,0.002384488,0.0006207766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238497,"about_ca_system_score_gemma":0.004156925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791116,"about_ca_topic_score_gemma":0.01921862,"domain_scores_codex":[0.9904702,0.004746563,0.0005918338,0.001388943,0.002188224,0.0006143195],"domain_scores_gemma":[0.9269497,0.05418844,0.006705943,0.003656544,0.007681659,0.0008176997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003879587,0.0003690904,0.5649651,0.001748617,0.0007175637,0.0006352772,0.09915668,0.001190194,0.00150244,0.2391579,0.002743488,0.08742588],"study_design_scores_gemma":[0.00003365911,0.0002761001,0.7612789,0.001146409,0.0004857083,0.0003258783,0.1097538,0.001402078,0.00180061,0.09249844,0.03090487,0.00009356158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593013,0.004630258,0.02347434,0.01033656,0.0003345462,0.0002962969,0.001028455,0.0000826396,0.1005156],"genre_scores_gemma":[0.9915264,0.001323938,0.002859544,0.0002712504,0.00007182096,0.0001027904,0.0001367493,0.00002860305,0.003678889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01791116,"threshold_uncertainty_score":0.06870723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00930001102737528,"score_gpt":0.3230068591807475,"score_spread":0.3137068481533722,"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."}}