{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002015994,0.003112258,0.002062386,0.006491572,0.001158017,0.004164265,0.004434721,0.00194637,0.2668727],"category_scores_gemma":[0.01134207,0.001135431,0.001171602,0.008026909,0.0007602633,0.003654766,0.005151477,0.001947803,0.344427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114578,"about_ca_system_score_gemma":0.001689863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006788047,"about_ca_topic_score_gemma":0.01323116,"domain_scores_codex":[0.9985482,0.0002871495,0.0001053839,0.0004904352,0.0003848224,0.000183937],"domain_scores_gemma":[0.9966838,0.0009045526,0.0001921706,0.001292242,0.0004295311,0.000497769],"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":[0.00004585716,0.00001005716,0.0002233603,0.0002802617,0.00001960698,0.00001210167,0.000015846,0.0001255214,0.0001091718,0.0008199206,0.9959188,0.002419579],"study_design_scores_gemma":[0.000161488,0.00001160576,0.0007448856,0.0001391681,0.00001600002,0.00004010626,0.00003205482,0.0005743465,0.0004544334,0.003585967,0.9942134,0.00002652594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001863599,0.000205547,0.0005494306,0.0002732509,0.00008135223,0.00002346876,0.9848186,0.009867301,0.003994703],"genre_scores_gemma":[0.001006283,0.0001695495,0.001105425,0.0001958078,0.00002835861,0.0001160351,0.9924878,0.00286936,0.002021436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7331274,"threshold_uncertainty_score":0.892778,"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."}}