{"id":"W6981874261","doi":"","title":"Fisheries, tourism, and marine protected areas : conflicting or synergistic interactions","year":2015,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine protected area; Fishing; Sampling (signal processing); Context (archaeology); Data collection","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":[0.001771158,0.0005914019,0.0008201388,0.00204806,0.000895794,0.003211207,0.0006782342,0.0009857283,0.01403479],"category_scores_gemma":[0.004787184,0.0003431277,0.000651525,0.002377828,0.001479626,0.001785783,0.004207575,0.0008762092,0.0007077766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006342312,"about_ca_system_score_gemma":0.001143063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00755452,"about_ca_topic_score_gemma":0.02059929,"domain_scores_codex":[0.9977797,0.001248807,0.00008430897,0.0002544466,0.0003290888,0.0003036311],"domain_scores_gemma":[0.9929924,0.003053072,0.001330774,0.0002593822,0.0006821654,0.00168217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006916583,0.0003884679,0.7963533,0.001642192,0.002931094,0.001736818,0.004202051,0.002230572,0.004328991,0.02739281,0.0112546,0.1468475],"study_design_scores_gemma":[0.000020752,0.000263775,0.94586,0.0008750355,0.0005957237,0.0006684146,0.01313377,0.002725434,0.0002561253,0.02118983,0.01430278,0.0001083817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8301533,0.03721908,0.007427418,0.03096964,0.0006981223,0.0001677063,0.00224472,0.0000823012,0.0910377],"genre_scores_gemma":[0.9861673,0.005763917,0.002122429,0.0007035981,0.0002263747,0.00003857318,0.0001995838,0.00001925635,0.004758963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403479,"threshold_uncertainty_score":0.046951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04435512989047324,"score_gpt":0.2988391767246766,"score_spread":0.2544840468342033,"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."}}