{"id":"W4398714273","doi":"10.7910/dvn/bsungb/dmct6v","title":"makeup3.tab","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":[0.001869771,0.006145741,0.002299411,0.007297045,0.001839817,0.005208372,0.005935234,0.003673135,0.1567697],"category_scores_gemma":[0.009355258,0.00137694,0.002854723,0.01030826,0.001037661,0.00384925,0.004505109,0.003093901,0.2548341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877877,"about_ca_system_score_gemma":0.002921132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859374,"about_ca_topic_score_gemma":0.03500379,"domain_scores_codex":[0.998266,0.0003024857,0.0001472925,0.0005419864,0.0003603426,0.0003818152],"domain_scores_gemma":[0.9968519,0.0006802066,0.0001897575,0.001307307,0.0006068086,0.0003641404],"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":[0.00004802491,0.00002363566,0.0002573568,0.0003690507,0.00003138804,0.00001308818,0.00001719961,0.0001527064,0.00008900341,0.0002419398,0.9972875,0.001468937],"study_design_scores_gemma":[0.0003615488,0.00003741763,0.001464933,0.0002166379,0.0000516886,0.00006845406,0.00008642592,0.0007816257,0.0008477952,0.001699937,0.994341,0.00004247079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002818078,0.0001819766,0.0001440152,0.0001774601,0.0001048056,0.00002314109,0.9937064,0.00367032,0.001710156],"genre_scores_gemma":[0.0005268192,0.00008512971,0.0003261824,0.00007409562,0.00002196617,0.00005931037,0.9972768,0.000454413,0.001175113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432304,"threshold_uncertainty_score":0.5244467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217818225442129,"score_gpt":0.2640582979164715,"score_spread":0.2422764753722586,"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."}}