{"id":"W6967083567","doi":"10.5061/dryad.t11f5","title":"Data from: Habitat-based polymorphism is common in stream fishes","year":2014,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Pelagic zone; STREAMS; Littoral zone; Habitat; Fish <Actinopterygii>","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":[0.001030368,0.0002095588,0.0002443274,0.001060774,0.000445756,0.0004294374,0.0003622356,0.0004593952,0.04823996],"category_scores_gemma":[0.003388057,0.0001289589,0.0001556294,0.001892466,0.0003624664,0.000347196,0.0006154091,0.0002642467,0.01182423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012559,"about_ca_system_score_gemma":0.0005731136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004902153,"about_ca_topic_score_gemma":0.007916779,"domain_scores_codex":[0.9991466,0.0001199551,0.0001778518,0.0001429214,0.0003475262,0.00006519619],"domain_scores_gemma":[0.9954241,0.001211989,0.001165045,0.0005210891,0.001318912,0.0003588237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002089483,0.0002419508,0.8338781,0.000662165,0.0001209484,0.0003628635,0.0009787447,0.0002676501,0.006689869,0.0004158917,0.07896596,0.07532634],"study_design_scores_gemma":[0.00008781339,0.0002683614,0.9349499,0.00006739207,0.00003372106,0.0001596233,0.0002801854,0.0001377749,0.001113297,0.0001069361,0.06277295,0.00002201822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6081659,0.0003171324,0.001727769,0.001537423,0.0002570811,0.000573797,0.3365639,0.000524168,0.0503328],"genre_scores_gemma":[0.7299895,0.0004904648,0.003730879,0.0009433264,0.0002103092,0.001640254,0.2265515,0.0001987032,0.0362452],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04823996,"threshold_uncertainty_score":0.1613787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214204359802132,"score_gpt":0.290909528510492,"score_spread":0.2487674849124706,"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."}}