{"id":"W6911038242","doi":"10.5061/dryad.v9s4mw74r","title":"Data from: Same trait, different genes: pelvic spine loss in three brook stickleback populations in Alberta","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Stickleback; Parallel evolution; Population; Gasterosteus; Mutation; Phenotype; Allele","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":[0.0008189681,0.001355952,0.001272985,0.003017222,0.001728584,0.00181207,0.002546005,0.001491144,0.01929927],"category_scores_gemma":[0.003840013,0.0005828069,0.001135174,0.006077266,0.0006252719,0.0004202544,0.001587205,0.001105946,0.00974784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373987,"about_ca_system_score_gemma":0.006909081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7097426,"about_ca_topic_score_gemma":0.8384376,"domain_scores_codex":[0.9994276,0.00005225826,0.00004197408,0.0001750644,0.000164781,0.0001384618],"domain_scores_gemma":[0.9983277,0.0004513187,0.0001807862,0.0002450377,0.0005739458,0.0002212201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000485367,0.00006971134,0.03912556,0.003380068,0.0006111439,0.0003600229,0.0005314098,0.002151195,0.001757578,0.001154257,0.9387006,0.01167307],"study_design_scores_gemma":[0.001045505,0.00004240717,0.1853152,0.001120924,0.0005017254,0.0002085643,0.0007040206,0.001085458,0.0008318776,0.00159919,0.8074221,0.0001230326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003028227,0.0003520994,0.00007603897,0.00009551323,0.00002595981,0.00001237936,0.9953274,0.000182459,0.0008998465],"genre_scores_gemma":[0.004479681,0.0001559951,0.0002964756,0.00005529617,0.000005435891,0.00004386097,0.9939085,0.00005081492,0.001003982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2902574,"threshold_uncertainty_score":0.5839335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506640760531607,"score_gpt":0.3792386328124892,"score_spread":0.2285745567593285,"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."}}