{"id":"W1560555922","doi":"10.1111/j.1466-8238.2011.00726.x","title":"Extensive gaps and biases in our knowledge of a well‐known fauna: implications for integrating biological traits into macroecology","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Demersal fish; Fauna; Ecology; Macroecology; Demersal zone; Biology; Taxonomic rank; Biological data; Trait; Invertebrate; Biodiversity; Geography; Taxon; Pelagic zone; Fishing","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":[0.02339179,0.0005406858,0.001009424,0.004291768,0.001221057,0.003702453,0.001417298,0.000762036,0.004149785],"category_scores_gemma":[0.06840822,0.0004764344,0.00071209,0.005899458,0.002970306,0.005421914,0.003915346,0.001133249,0.0003580075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095032,"about_ca_system_score_gemma":0.001295155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589304,"about_ca_topic_score_gemma":0.02525884,"domain_scores_codex":[0.9910773,0.004015953,0.0009827954,0.001970011,0.001307341,0.0006465134],"domain_scores_gemma":[0.8639943,0.09179207,0.02612669,0.01153843,0.00437032,0.002178129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004423014,0.00001776717,0.9761627,0.0002569031,0.0003723261,0.00009196752,0.001625881,0.0008441837,0.0003094892,0.001026394,0.0005384505,0.01870977],"study_design_scores_gemma":[0.000003379772,0.00002007526,0.9882401,0.0002849758,0.00005595421,0.0001150664,0.002681253,0.001987864,0.0001459356,0.004888335,0.001556944,0.00002012182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973559,0.003902945,0.01235901,0.003645385,0.00004186633,0.00005748266,0.002257403,0.0000977729,0.004079239],"genre_scores_gemma":[0.9961528,0.000336199,0.002537247,0.0002489699,0.00003059213,0.00002578352,0.0005529734,0.00001457859,0.0001006913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02339179,"threshold_uncertainty_score":0.1237091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224543166329682,"score_gpt":0.2686353942714902,"score_spread":0.2463899626081934,"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."}}