{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699663,0.0002568656,0.0003455178,0.002618493,0.0004175275,0.001241844,0.000311824,0.0002287257,0.001498382],"category_scores_gemma":[0.002382708,0.0001312906,0.0002944045,0.003080898,0.0003492714,0.0004479542,0.0006449961,0.0001950126,0.00013256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446653,"about_ca_system_score_gemma":0.0007213249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1427399,"about_ca_topic_score_gemma":0.2149737,"domain_scores_codex":[0.9994625,0.0001055435,0.00005825983,0.0001236943,0.0001629255,0.00008712778],"domain_scores_gemma":[0.9985548,0.0005113333,0.0004001151,0.0000889361,0.0003568103,0.00008814953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001822286,0.00002132245,0.9465678,0.0003744948,0.00009679877,0.0002029391,0.004901195,0.001095456,0.001368294,0.0008974764,0.001272514,0.04301945],"study_design_scores_gemma":[0.000002221878,0.00001670926,0.9909363,0.00003908413,0.00002117836,0.00008596432,0.004046483,0.0009544388,0.0001786557,0.00006591785,0.003644687,0.000008322119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925504,0.0006819534,0.0006552556,0.00005192322,0.000007381182,0.00002508313,0.002368899,0.00004302017,0.003616081],"genre_scores_gemma":[0.9970893,0.0002610602,0.001026034,0.000005446365,0.000004476624,0.00003313713,0.001013498,0.000007022851,0.0005599335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1427399,"threshold_uncertainty_score":0.2838181,"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."}}