{"id":"W4411216016","doi":"10.1111/mec.17832","title":"Assigning Phenologically Asynchronous Moths to Source Populations Using Individual Genotypes","year":2025,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; University of Toronto","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Biology; Genotype; Evolutionary biology; Asynchronous communication; Genetics; Computational biology; Gene; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007515416,0.0003069885,0.0002955736,0.0006677,0.0003176465,0.0006507192,0.0003181515,0.0004007664,0.0003415335],"category_scores_gemma":[0.001628353,0.0001761302,0.0004123193,0.0003436584,0.0002427653,0.00034535,0.0004042909,0.0004255875,0.0002109468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809747,"about_ca_system_score_gemma":0.0002070537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833111,"about_ca_topic_score_gemma":0.003940513,"domain_scores_codex":[0.9996488,0.00007781159,0.00002298367,0.0001942506,0.00002850577,0.0000275877],"domain_scores_gemma":[0.9989441,0.0003110717,0.0004293068,0.0001233776,0.00009981477,0.00009235549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006991857,0.0003123885,0.6894646,0.000166417,0.0002814243,0.0001726339,0.0008988294,0.01638459,0.1494864,0.0004441522,0.0002896166,0.1413997],"study_design_scores_gemma":[0.00005613934,0.0004017177,0.7592576,0.00006263399,0.0002065727,0.0004926667,0.0006003212,0.2184413,0.01725014,0.001855988,0.00130876,0.00006605859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733147,0.0001189345,0.0258283,0.00004405856,0.000009882229,0.00002750627,0.0002154509,0.00008116131,0.0003599882],"genre_scores_gemma":[0.9635562,0.00007407156,0.03564034,0.00003677065,0.000008827203,0.00002212464,0.0003851857,0.00001913268,0.0002574142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001833111,"threshold_uncertainty_score":0.003974557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05244426505205991,"score_gpt":0.2530963568967859,"score_spread":0.200652091844726,"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."}}