{"id":"W4398625640","doi":"10.7910/dvn/4qjw0v/6v5mdu","title":"Votefoot survey data for POP.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","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":[],"consensus_categories":[],"category_scores_codex":[0.0007806858,0.001372179,0.0007081291,0.003566611,0.0007464542,0.001478476,0.00164306,0.001154896,0.04887409],"category_scores_gemma":[0.0042227,0.000425478,0.0007225206,0.005167479,0.0002612581,0.0007197947,0.001301923,0.001273857,0.06849042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008851519,"about_ca_system_score_gemma":0.002116106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0290186,"about_ca_topic_score_gemma":0.07076139,"domain_scores_codex":[0.9991711,0.00009796705,0.00009850583,0.0001639258,0.0002990165,0.0001695642],"domain_scores_gemma":[0.9977949,0.0003701191,0.0002507322,0.0003581411,0.0009398813,0.0002861895],"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":[0.00004397948,0.00003250792,0.002016008,0.0001296764,0.000009749113,0.00001419045,0.00001776927,0.00008220219,0.0000775103,0.0002386033,0.9954174,0.001920409],"study_design_scores_gemma":[0.0002060557,0.00003028653,0.01788183,0.0001314417,0.00001695318,0.00006564872,0.0002470469,0.0004704752,0.0005331149,0.0004908242,0.9799018,0.00002452947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005526483,0.00001769916,0.00003740643,0.00005201373,0.00002940099,0.00001593916,0.9982302,0.000127906,0.0009368358],"genre_scores_gemma":[0.0008772057,0.00001620358,0.0001365455,0.00003495231,0.000008536638,0.000060837,0.9972109,0.00003589288,0.001618828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04887409,"threshold_uncertainty_score":0.1635001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08798275637520361,"score_gpt":0.3045315107010221,"score_spread":0.2165487543258185,"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."}}