{"id":"W6910578321","doi":"10.5061/dryad.4mw6m90db","title":"Rocky Mountain Brook Trout harvest project genotypes","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Inbreeding; Trout; Habitat; Population; Genetic variability; Species evenness; Selection (genetic algorithm); Reproductive success","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00107929,0.0002224369,0.0001636701,0.0006146055,0.0008120362,0.0004615865,0.0005335573,0.0001598778,0.01256656],"category_scores_gemma":[0.0007084727,0.0001359174,0.0001345902,0.0007683801,0.0001729895,0.0002507496,0.0004557838,0.0002683037,0.002497486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228781,"about_ca_system_score_gemma":0.002214471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1375703,"about_ca_topic_score_gemma":0.4420838,"domain_scores_codex":[0.9996344,0.00005215724,0.00002435578,0.00006927619,0.0001699151,0.00004987969],"domain_scores_gemma":[0.9991814,0.00003802039,0.0001390463,0.00006543835,0.0003683959,0.0002076812],"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":[0.001088941,0.0004642378,0.7428954,0.0001035366,0.000136446,0.0002471573,0.001062028,0.001098266,0.02562397,0.001249873,0.09762713,0.128403],"study_design_scores_gemma":[0.0000897469,0.0001464866,0.9583048,0.00003244601,0.00003620816,0.00007010223,0.0004357053,0.001207355,0.002053038,0.0003147789,0.03728827,0.00002108467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8572873,0.0001645507,0.004522345,0.0008549203,0.0001094808,0.000495584,0.1074894,0.0007248999,0.02835147],"genre_scores_gemma":[0.733833,0.0001969101,0.03215553,0.0003951287,0.00005224105,0.001104235,0.1526778,0.0004864716,0.07909878],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1375703,"threshold_uncertainty_score":0.2735391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0556648952245325,"score_gpt":0.3454634033560428,"score_spread":0.2897985081315103,"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."}}