{"id":"W4398415597","doi":"10.7910/dvn/2b4rdi/yjehwz","title":"familyhealthlv_5Feb2019CSVversion.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"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":["insufficient_payload"],"category_scores_codex":[0.001047372,0.002193781,0.001475777,0.004657408,0.001020202,0.003375454,0.002933947,0.002819146,0.3375566],"category_scores_gemma":[0.008214369,0.0008969658,0.001411076,0.008076403,0.000534922,0.001983226,0.002670738,0.001852936,0.2421923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101295,"about_ca_system_score_gemma":0.002675935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0427042,"about_ca_topic_score_gemma":0.06322939,"domain_scores_codex":[0.9991844,0.0001365264,0.00009238353,0.0002380444,0.0001557448,0.0001927955],"domain_scores_gemma":[0.9966686,0.001278375,0.000325908,0.000633145,0.0006735431,0.000420387],"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":[0.0000315549,0.0000064809,0.0003437219,0.0003801485,0.00001381682,0.000009705528,0.00001304032,0.00009189155,0.00002981086,0.0003677254,0.9978113,0.0009008534],"study_design_scores_gemma":[0.0002719852,0.00001449593,0.002483584,0.0004655205,0.00002816959,0.00004390608,0.00007220107,0.0002412758,0.0001944714,0.001505915,0.994648,0.00003035142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003180039,0.00003309004,0.00002155433,0.00007017413,0.00001485876,0.000003031156,0.9990931,0.0001872101,0.000545326],"genre_scores_gemma":[0.0003216389,0.00006561779,0.0001123167,0.0001058115,0.00001093609,0.00003868715,0.9980801,0.0001294617,0.001135427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6624434,"threshold_uncertainty_score":0.9448951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060165760402274,"score_gpt":0.2777868833322277,"score_spread":0.247185225728205,"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."}}