{"id":"W6939925456","doi":"10.6084/m9.figshare.c.7826193","title":"Supplementary material from \"Exploration of gene presence/absence variations in Oncorhynchus mykiss and their differentiation between wild and selection population\"","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rainbow trout; Selection (genetic algorithm); Gene; Phylogenetic tree; Candidate gene; Genome; Identification (biology)","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":[0.000691052,0.0006751315,0.0007542371,0.001805351,0.0008766685,0.0008400925,0.001200251,0.0007255659,0.5684153],"category_scores_gemma":[0.003574102,0.0004883657,0.0007703603,0.002763565,0.0002250538,0.0007117382,0.001165266,0.0005419031,0.1274292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005017524,"about_ca_system_score_gemma":0.001242477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009422941,"about_ca_topic_score_gemma":0.02532204,"domain_scores_codex":[0.9995555,0.00005649701,0.00005569925,0.0001392763,0.0001174748,0.0000754943],"domain_scores_gemma":[0.9984806,0.0006879148,0.0001479028,0.0002047542,0.0002762082,0.0002024644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004850515,0.0001205644,0.00908828,0.002434667,0.0001315699,0.000276008,0.0002408499,0.0004465583,0.008217167,0.001399301,0.9505503,0.02660969],"study_design_scores_gemma":[0.000500565,0.0001524396,0.08067178,0.0005684255,0.0001733516,0.0004954039,0.0002519255,0.001206786,0.002958213,0.003445657,0.9094775,0.00009797604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002647951,0.00008846629,0.00206452,0.000191362,0.0002800735,0.00005064359,0.9884531,0.00137119,0.004852678],"genre_scores_gemma":[0.008266703,0.0001614681,0.004802362,0.0003020751,0.00008881159,0.000209889,0.9719374,0.0008200869,0.01341124],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5684153,"threshold_uncertainty_score":0.6156031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368960292710091,"score_gpt":0.2710727971193407,"score_spread":0.2373831941922398,"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."}}