{"id":"W2182084609","doi":"10.1139/f2012-025","title":"Unravelling the effects of water temperature and density dependence on the spatial variation of brown trout (<i>Salmo trutta</i>) body size","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund","keywords":"Salmo; Brown trout; Density dependence; Population density; Trout; Population; Ecology; Biology; Fishery; Fish <Actinopterygii>; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005578423,0.0001198817,0.0002131961,0.0004088957,0.0001884315,0.0002848719,0.0001976712,0.0001516201,0.0004292504],"category_scores_gemma":[0.001049736,0.0001509849,0.0002232249,0.0003489143,0.0003020594,0.0003368717,0.0003166192,0.0001860112,0.00009046223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341852,"about_ca_system_score_gemma":0.0002537913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01811002,"about_ca_topic_score_gemma":0.04150772,"domain_scores_codex":[0.9997812,0.00009026207,0.00001532512,0.00004851053,0.00003536703,0.00002931129],"domain_scores_gemma":[0.9990457,0.0003089056,0.0003468766,0.00008842159,0.0001430987,0.00006688941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008646522,0.00002016013,0.9817457,0.0000147969,0.00008223626,0.0000347235,0.0002538971,0.0003327475,0.008008312,0.00004327896,0.00005605999,0.009321701],"study_design_scores_gemma":[2.579136e-7,0.000009956038,0.9996032,7.521983e-7,0.000005508202,0.00001063186,0.00005519464,0.0001783377,0.00008778757,0.00000666112,0.00004058182,0.000001095312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999541,0.0001190311,0.0001417416,0.00001368966,0.000001245424,9.351417e-7,0.00003747731,0.000001573001,0.0001433228],"genre_scores_gemma":[0.999574,0.00007602326,0.0001713211,0.00000659242,0.000004766226,0.000001777298,0.00007897113,0.000001717983,0.00008485967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01811002,"threshold_uncertainty_score":0.03600919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00658999421798797,"score_gpt":0.1793076066411156,"score_spread":0.1727176124231277,"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."}}