{"id":"W4398836295","doi":"10.7910/dvn/qkcpxu/pkqrkb","title":"HOUSEHOLD STRATEGIE.tab","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MaRS","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":[],"category_scores_codex":[0.0009667809,0.003041608,0.001334382,0.006492958,0.0007297032,0.003597915,0.002555914,0.002533714,0.2954442],"category_scores_gemma":[0.00605691,0.001423329,0.001515103,0.0102344,0.000532829,0.001842546,0.002282246,0.001863511,0.2547157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810037,"about_ca_system_score_gemma":0.0024665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270312,"about_ca_topic_score_gemma":0.05127865,"domain_scores_codex":[0.9991698,0.0001141868,0.00009306581,0.0002340819,0.000185832,0.0002031521],"domain_scores_gemma":[0.9966834,0.0009702828,0.0004157083,0.0009943714,0.0005639803,0.0003721445],"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":[0.00003548671,0.00002216282,0.0008019071,0.0003880436,0.00002353173,0.00000726576,0.00002357921,0.0003133138,0.00004495606,0.0004717546,0.9962219,0.001646059],"study_design_scores_gemma":[0.0004044649,0.00002792599,0.005350149,0.0003651075,0.00003418944,0.00002861982,0.0001279958,0.0006696986,0.0003221414,0.002017136,0.9906122,0.00004034695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000668708,0.00001653506,0.00003017255,0.00002958625,0.000009143908,0.00000486523,0.9991689,0.0002436847,0.0004303137],"genre_scores_gemma":[0.0004816731,0.00004873405,0.0001827083,0.00004696376,0.000009620723,0.00006034828,0.9978726,0.0001462106,0.001151116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7045559,"threshold_uncertainty_score":0.9883592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05734733582292171,"score_gpt":0.2744615703414156,"score_spread":0.2171142345184938,"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."}}