{"id":"W6948458472","doi":"10.5061/dryad.5qfttdzcf","title":"Poecilia picta female genome assembly files","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dosage compensation; Gene dosage; Poecilia; Genome; X chromosome; Chromosome; X-inactivation; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007267402,0.002384233,0.001727408,0.004787177,0.00110464,0.001685882,0.002298472,0.001327029,0.0955155],"category_scores_gemma":[0.002495733,0.0008597919,0.001291669,0.006596512,0.0004319237,0.0009804121,0.001397525,0.001475017,0.05516918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090997,"about_ca_system_score_gemma":0.001912973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009914742,"about_ca_topic_score_gemma":0.01741168,"domain_scores_codex":[0.9995105,0.00005075707,0.00004232318,0.0002252973,0.0001050914,0.00006605213],"domain_scores_gemma":[0.9992076,0.0002549347,0.0001041755,0.0001885516,0.0001585252,0.00008623807],"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":[0.0006316199,0.00007619456,0.004170883,0.007552889,0.0003556656,0.0003730579,0.0001880198,0.001599944,0.008122875,0.001841581,0.9591509,0.01593651],"study_design_scores_gemma":[0.0004107697,0.00004537518,0.02012266,0.0004044435,0.0001972172,0.0003212405,0.00008177065,0.0007759745,0.002444646,0.001238768,0.9738979,0.00005924522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003536328,0.00007255195,0.0001700735,0.0000185618,0.000008954627,0.00001667752,0.9982139,0.0005505677,0.000595042],"genre_scores_gemma":[0.0007782073,0.00005993486,0.0006889897,0.00001972315,0.000002355187,0.0001086442,0.997902,0.0001398152,0.0003002934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0955155,"threshold_uncertainty_score":0.3195311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04554227191303589,"score_gpt":0.2687577934848908,"score_spread":0.2232155215718549,"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."}}