{"id":"W1574834795","doi":"","title":"ANÁLISIS DE VACÍOS DE REPRESENTATIVIDAD EN LAS ÁREAS MARINAS PROTEGIDAS DEL SISTEMA DE PARQUES NACIONALES NATURALES DE COLOMBIA","year":2012,"lang":"es","type":"article","venue":"Biodiversity Heritage Library (Smithsonian Institution)","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Representativeness heuristic; Biodiversity; Geography; Intertidal zone; Marine protected area; Marine biodiversity; Environmental resource management; Environmental protection; Environmental science; Ecology; Oceanography; Habitat; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001193778,0.0004563397,0.0004254483,0.0003149864,0.001980575,0.0007090942,0.000869745,0.0006685177,0.0003649319],"category_scores_gemma":[0.0003839192,0.0005034282,0.0002698837,0.001061537,0.001060635,0.006188675,0.0004608898,0.0005242327,0.0003032748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158675,"about_ca_system_score_gemma":0.002350071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894647,"about_ca_topic_score_gemma":0.0001500646,"domain_scores_codex":[0.9958659,0.001111317,0.00047253,0.0005622695,0.0007069188,0.001281102],"domain_scores_gemma":[0.9982825,0.0002826746,0.0003677574,0.0003204477,0.0001367447,0.0006098864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002065334,0.0003268947,0.8774037,0.0002390137,0.0001734243,0.00008945873,0.008854354,0.000005656556,0.00009088423,0.08889139,0.02172553,0.001993201],"study_design_scores_gemma":[0.00053525,0.00005848434,0.8372366,0.0002641669,0.00008802157,0.00003920933,0.003553234,0.00004133912,0.001266142,0.001267118,0.1550852,0.0005652219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614298,0.001090461,0.0002429772,0.01356852,0.0004875114,0.0009407111,0.0002579945,0.0003893383,0.02159263],"genre_scores_gemma":[0.9730462,0.004199502,0.01665188,0.001841576,0.0007894739,0.00006292495,0.00007119176,0.00002393108,0.003313268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1333597,"threshold_uncertainty_score":0.9997417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874175856158006,"score_gpt":0.265546355295822,"score_spread":0.2468045967342419,"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."}}