{"id":"W6961020298","doi":"10.14288/1.0169460","title":"The Atlin Claim","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; George (robot); Subject (documents); Project commissioning; Privilege (computing)","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":[],"consensus_categories":[],"category_scores_codex":[0.004299653,0.0005960194,0.0009031348,0.003036143,0.01187449,0.02135105,0.00174075,0.010461,0.1678962],"category_scores_gemma":[0.03315209,0.0006084032,0.00059711,0.002810042,0.003957108,0.005806941,0.004888576,0.006629691,0.1019748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01179956,"about_ca_system_score_gemma":0.0175657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07471702,"about_ca_topic_score_gemma":0.1070361,"domain_scores_codex":[0.9921548,0.0003397486,0.0003255698,0.0009066982,0.005264145,0.001009003],"domain_scores_gemma":[0.9764394,0.003141027,0.0007595003,0.002859079,0.01375289,0.00304815],"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":[0.00003076411,0.00001030314,0.0003037172,0.00004209253,0.000004492427,0.0002393456,0.0002144545,0.00001450594,0.0001691602,0.01869552,0.9699032,0.01037247],"study_design_scores_gemma":[0.000003403714,0.000003116518,0.0003482377,0.00006187332,0.000003429988,0.00006591257,0.0001334984,0.00002619075,0.000120659,0.0008443139,0.9983808,0.000008518238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003526442,0.004607364,0.000910076,0.1404101,0.05382961,0.0001029226,0.002302738,0.001195156,0.7931156],"genre_scores_gemma":[0.01842212,0.001217301,0.0002560863,0.01958425,0.004318474,0.00004891237,0.001033464,0.0006327425,0.9544867],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.925283,"threshold_uncertainty_score":0.5616686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930267158418145,"score_gpt":0.2362942813306788,"score_spread":0.2169916097464974,"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."}}