{"id":"W7120845424","doi":"","title":"Detalle de la subcuenca 63 en la región hidrográfica del río Paraná","year":2011,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Nova (rocket); West indies; Qualitative analysis","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":[0.001067271,0.0001995418,0.0002714865,0.001598055,0.001594594,0.001487052,0.0007677038,0.0006733846,0.005671664],"category_scores_gemma":[0.002623661,0.0004823764,0.0003641557,0.004373638,0.001395538,0.0007922956,0.002689428,0.0005651108,0.0006971529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00355068,"about_ca_system_score_gemma":0.008824687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4666183,"about_ca_topic_score_gemma":0.6168697,"domain_scores_codex":[0.9991739,0.0001236069,0.0000445604,0.00009564345,0.0002217891,0.0003404847],"domain_scores_gemma":[0.9991297,0.0001689737,0.0002830471,0.0001024453,0.0001830966,0.0001328807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001555685,0.00006686114,0.7381105,0.0009831171,0.00008621167,0.00391821,0.1407817,0.0003267061,0.007692633,0.02260922,0.007270019,0.07799923],"study_design_scores_gemma":[0.000005324834,0.00003141893,0.8550708,0.0003314543,0.00002591505,0.0004400521,0.06578799,0.0001346748,0.0003221736,0.0005880799,0.07725045,0.00001168774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920274,0.002302598,0.0004004882,0.002651989,0.0000531057,0.0002252508,0.002219894,0.00002372019,0.07184906],"genre_scores_gemma":[0.9733517,0.003099159,0.0006619617,0.0006427699,0.00002283436,0.0002288829,0.000691407,0.00002404281,0.02127713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4666183,"threshold_uncertainty_score":0.9278046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955269648975838,"score_gpt":0.2239773554132986,"score_spread":0.2044246589235402,"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."}}