{"id":"W4398591277","doi":"10.7910/dvn/bh43df/cnw17e","title":"Cheryl Scales.png","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geography; Geology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004686109,0.0004082092,0.0003859097,0.0001439081,0.00008935844,0.0001145796,0.001286612,0.0008774532,0.004888054],"category_scores_gemma":[0.0005380535,0.0003660201,0.0002139642,0.0001128757,0.0003113991,0.000007866957,0.001318755,0.000473671,0.1052197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000396736,"about_ca_system_score_gemma":0.0003323994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007405227,"about_ca_topic_score_gemma":0.0001246549,"domain_scores_codex":[0.9974936,0.00007537646,0.0004705909,0.000619951,0.0006818388,0.0006586849],"domain_scores_gemma":[0.9972225,0.00002681383,0.0001881443,0.002061311,0.0001535278,0.0003476571],"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":[0.00006794582,0.00008248547,0.0000114777,0.0003278914,0.0001129611,0.0000150833,0.000004172578,0.000002060106,0.002321094,0.00000103151,0.9958612,0.001192554],"study_design_scores_gemma":[0.000593452,0.0002612006,0.00004850089,0.00005670225,0.0000520252,0.00001684146,0.00004438023,0.00002867747,0.001536749,0.000005006464,0.9968994,0.0004570457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002106792,0.0000149607,0.00009890818,0.00001657835,0.0009160192,0.0003945073,0.9976441,0.0000109847,0.0006932323],"genre_scores_gemma":[0.00007334251,0.003665624,0.0003396605,0.0007426941,0.0008836242,0.00001936023,0.9908618,0.00003177228,0.003382089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1003316,"threshold_uncertainty_score":0.9998792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072519173045078,"score_gpt":0.2807312402334105,"score_spread":0.2600060485029597,"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."}}