{"id":"W6948910452","doi":"10.5281/zenodo.10712592","title":"Segzoo","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Turnkey; Term (time); DNA Transposable Elements","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":[0.001985671,0.001785945,0.00129949,0.003531653,0.0020495,0.005708705,0.002116632,0.001331964,0.3802865],"category_scores_gemma":[0.007773729,0.0009259472,0.001309358,0.003589841,0.0007304929,0.003552587,0.00464747,0.001945837,0.3411643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204193,"about_ca_system_score_gemma":0.00236209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00494969,"about_ca_topic_score_gemma":0.007036063,"domain_scores_codex":[0.998508,0.00024099,0.0001251027,0.0004295153,0.0005058249,0.0001904691],"domain_scores_gemma":[0.9968376,0.0003898851,0.0001954936,0.0009373888,0.001317399,0.0003221924],"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":[0.0005673254,0.00002370013,0.0008590652,0.001077506,0.00005281172,0.0002758152,0.0005169442,0.0002611744,0.005441046,0.01021217,0.8282282,0.1524842],"study_design_scores_gemma":[0.0000171688,0.000007817241,0.0003984591,0.00008761353,0.00001427142,0.0001079423,0.00006560224,0.0001230227,0.001137134,0.001891609,0.9961338,0.00001561063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009332912,0.01133105,0.099903,0.01036808,0.01617802,0.0004866873,0.2317654,0.1573517,0.4632832],"genre_scores_gemma":[0.04644638,0.008503512,0.09801161,0.004481878,0.002781286,0.0008670224,0.2574862,0.1238044,0.4576179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3802865,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243122571055516,"score_gpt":0.2404779806789018,"score_spread":0.2180467549683466,"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."}}