{"id":"W2110701499","doi":"10.1139/cjfas-2013-0086","title":"Examining the utility of alternative video monitoring metrics for indexing reef fish abundance","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abundance (ecology); Coral reef fish; Fish <Actinopterygii>; Reef; Statistics; Fishery; Relative species abundance; Fish stock; Ecology; Environmental science; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009440146,0.0000670685,0.000139045,0.00006535139,0.0005647503,0.00008443223,0.0003145912,0.00002107986,0.0002361982],"category_scores_gemma":[0.0007476119,0.00004430338,0.00002590302,0.0002854832,0.001192574,0.000481068,0.00004634911,0.00007048235,0.00000106833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003202692,"about_ca_system_score_gemma":0.00005227214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005823244,"about_ca_topic_score_gemma":0.0152972,"domain_scores_codex":[0.9992504,0.00003360999,0.0002353544,0.0001126319,0.0001598445,0.0002081975],"domain_scores_gemma":[0.9991465,0.0004305596,0.0002387619,0.00006448528,0.00002126781,0.00009841674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001900872,0.000003469891,0.9761066,0.000007422636,0.00001778908,0.000001441211,0.001781358,0.00002028888,0.00001346944,0.0000417845,0.009865101,0.01213942],"study_design_scores_gemma":[0.000122335,0.0002092271,0.9813876,0.00003562494,0.00001746701,0.000004523898,0.007721558,0.002355821,0.0001638902,0.004543471,0.003367625,0.00007088756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907663,0.0001151106,0.0006494049,0.003149496,0.0003554794,0.0001488927,0.000001662376,0.000001368402,0.004812216],"genre_scores_gemma":[0.9977389,0.00005432026,0.001741224,0.0002742708,0.00003877498,0.000007294524,5.962862e-8,0.000002138308,0.0001430174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206853,"threshold_uncertainty_score":0.8803043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04876488001751815,"score_gpt":0.2416356863878227,"score_spread":0.1928708063703045,"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."}}