{"id":"W1579874440","doi":"10.1111/j.1365-2427.2010.02542.x","title":"The evolution of redd site selection in brook charr in different environments: same cue, same benefit for fitness*","year":2010,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Canada Research Chairs","keywords":"Habitat; Fontinalis; Ecology; Salvelinus; Substrate (aquarium); River ecosystem; Selection (genetic algorithm); Site selection; Trout; Hatching; Biology; Environmental science; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394628,0.0001152723,0.0001647715,0.00005656783,0.0001141031,0.000003847424,0.0001657682,0.0001331786,0.0003703293],"category_scores_gemma":[0.00003760619,0.00007692218,0.00003330149,0.00007450111,0.000307392,0.00006200521,0.0001926458,0.000145174,0.00004619294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701048,"about_ca_system_score_gemma":0.00000217309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658348,"about_ca_topic_score_gemma":0.4234871,"domain_scores_codex":[0.9990954,0.00004644814,0.0002357184,0.0002626425,0.00004895815,0.0003108241],"domain_scores_gemma":[0.9997,0.00007306191,0.00007956352,0.0001268089,0.000002522941,0.00001810519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006220368,0.00008078064,0.9154941,0.000005239827,0.000009798571,2.776313e-7,0.0001876057,0.000109921,0.08090358,0.0009333508,0.001463786,0.000749332],"study_design_scores_gemma":[0.0005163818,0.0001496966,0.9518757,0.000003510255,0.000007104491,6.762124e-7,0.00004889158,0.0006905277,0.002658858,0.01018698,0.03376648,0.00009513712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975436,0.00002586,0.0002445977,0.001143426,0.000274898,0.0004129238,0.00003091623,0.000009047006,0.0003147748],"genre_scores_gemma":[0.9973909,0.00006136303,0.0001883426,0.0001659215,0.00003906484,0.0002110989,0.00002857203,0.000006694212,0.001908032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4218288,"threshold_uncertainty_score":0.5870327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005621383992053495,"score_gpt":0.2100872479510733,"score_spread":0.2044658639590198,"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."}}