{"id":"W2080832497","doi":"10.1007/s10750-010-0279-7","title":"A perspective on Salvelinus research","year":2010,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Fisheries and Oceans Canada","funders":"","keywords":"Salvelinus; Perspective (graphical); Ecology; Biology; Fishery; Fish <Actinopterygii>; Computer science; Artificial intelligence; Trout","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":[0.001969066,0.0008657566,0.0008372156,0.002082444,0.001650944,0.003003162,0.001150716,0.004553249,0.01016699],"category_scores_gemma":[0.001434713,0.000138745,0.0004935713,0.00126586,0.004698162,0.004681422,0.001417635,0.002988555,0.001794036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002824,"about_ca_system_score_gemma":0.002571814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003995139,"about_ca_topic_score_gemma":0.00619715,"domain_scores_codex":[0.9994911,0.0001464331,0.00003513586,0.0001393358,0.0001131469,0.00007477243],"domain_scores_gemma":[0.9989644,0.0004827578,0.00006623259,0.00004975934,0.0002399588,0.0001969154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005146768,0.0002863548,0.001313922,0.002777503,0.0001014859,0.001396474,0.00191612,0.0009959673,0.0159985,0.5538255,0.09478634,0.3260872],"study_design_scores_gemma":[0.00003019497,0.0003130536,0.001006212,0.000635476,0.00003165616,0.0004120793,0.001532176,0.0002386639,0.001994188,0.1564876,0.8372868,0.00003188096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.008702528,0.629701,0.007576897,0.2248935,0.01601603,0.00002760997,0.0002013268,0.0001295274,0.1127516],"genre_scores_gemma":[0.1166471,0.7175012,0.01003533,0.0590921,0.02668837,0.00008671114,0.0002091905,0.00007544019,0.06966461],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01016699,"threshold_uncertainty_score":0.03401202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908586767930119,"score_gpt":0.3769315319233586,"score_spread":0.3278456642440574,"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."}}