{"id":"W7164570940","doi":"10.5281/zenodo.20654776","title":"Fig. 2. Haplotype network for 491 in Genetic structuring of Fishers in British Columbia, Canada: implications for population conservation and management","year":2024,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haplotype; Population; Structuring; Boreal; Population genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002464431,0.000198391,0.0002024591,0.003946505,0.002264359,0.0009752018,0.0004156772,0.0002518847,0.01527022],"category_scores_gemma":[0.00170451,0.0001861855,0.0002798201,0.006834919,0.0005070758,0.0002495818,0.0005354523,0.0003925197,0.0009996311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005816594,"about_ca_system_score_gemma":0.01004302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9548602,"about_ca_topic_score_gemma":0.9817046,"domain_scores_codex":[0.9997396,0.0000298962,0.00001551835,0.00009486887,0.00005102907,0.00006910966],"domain_scores_gemma":[0.9988961,0.0001671381,0.0001572926,0.00004202003,0.0005796008,0.0001578589],"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":[0.0002093507,0.00002206675,0.8411766,0.0004666411,0.0002063615,0.0004378742,0.003760402,0.006787969,0.003237539,0.004202615,0.06824737,0.07124519],"study_design_scores_gemma":[0.00001668255,0.000009644804,0.966199,0.0001828449,0.00009196728,0.0001873763,0.002653874,0.002997795,0.0001611716,0.0007597013,0.0267195,0.00002036133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7604829,0.001430299,0.004034722,0.001020445,0.00004640495,0.0002778221,0.2022748,0.0002617869,0.03017091],"genre_scores_gemma":[0.9182995,0.0007849699,0.006867104,0.0001075776,0.000007529598,0.0001179381,0.06301237,0.00004222531,0.01076078],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9847298,"threshold_uncertainty_score":0.09081131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916416747688667,"score_gpt":0.2768606810517493,"score_spread":0.2476965135748626,"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."}}