{"id":"W7068173273","doi":"","title":"Q&A","year":2012,"lang":"en","type":"article","venue":"WBI Studies Repository","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Action (physics); Relation (database); Natural (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001437047,0.0001061596,0.000103172,0.00001767348,0.0001480869,0.000009277569,0.0000987282,0.00006599703,0.000005025603],"category_scores_gemma":[0.0001487733,0.00009012139,0.00005605294,0.00003505972,0.0000802478,0.000003830289,0.0001719347,0.00007743363,0.00006155127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001594482,"about_ca_system_score_gemma":0.00001144583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003678796,"about_ca_topic_score_gemma":0.0000021768,"domain_scores_codex":[0.999368,0.00003826563,0.0001619861,0.0001005169,0.0001025804,0.000228674],"domain_scores_gemma":[0.9995079,0.00001296177,0.00007208751,0.0002909819,0.00005597678,0.00006007479],"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":[0.00007236787,0.0001935046,0.3574648,0.0002428318,0.000913321,0.000003589092,0.004401925,0.0001015689,0.3509672,0.0006726111,0.2807151,0.004251117],"study_design_scores_gemma":[0.0001770068,0.00007590507,0.01537453,0.00001153737,0.0000284598,0.00007660928,0.0004159406,0.000009663881,0.03309412,0.000007811925,0.9505124,0.0002160086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034152,0.01304261,0.0004475749,0.00009222423,0.001504154,0.0001114166,0.000001662104,0.00004642562,0.08133875],"genre_scores_gemma":[0.9830267,0.0002194291,0.00334211,0.0002978049,0.001063958,0.00001633847,0.00001679407,0.00001510526,0.0120017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6697973,"threshold_uncertainty_score":0.3675044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248802566881662,"score_gpt":0.3225941779979605,"score_spread":0.2977139213097943,"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."}}