{"id":"W4398843829","doi":"10.7910/dvn/rj7vuq/6szoyu","title":"Table G1.tex","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Table (database); Computer science; Database","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":[0.002080012,0.003066312,0.002125068,0.005048297,0.001222098,0.006368909,0.003819709,0.002925519,0.4095201],"category_scores_gemma":[0.02191503,0.0008875355,0.001707672,0.009907119,0.0008497892,0.002394408,0.003125272,0.00248467,0.3414606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724127,"about_ca_system_score_gemma":0.0032007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180896,"about_ca_topic_score_gemma":0.01833722,"domain_scores_codex":[0.9983354,0.0003462513,0.0002002553,0.000602412,0.0002859298,0.0002296982],"domain_scores_gemma":[0.9939628,0.003051188,0.0004792314,0.001191095,0.000868336,0.0004473327],"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":[0.00002877213,0.0000118672,0.0003679306,0.0005501597,0.00003059017,0.00001016816,0.00001452064,0.0001691243,0.00003155384,0.0004950167,0.997202,0.001088302],"study_design_scores_gemma":[0.0005461411,0.00001697689,0.001754377,0.0006364941,0.00005296565,0.00004541951,0.00008254129,0.000410104,0.0002243138,0.004504608,0.9916979,0.00002820877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005250268,0.00005457188,0.00005554476,0.00009949614,0.00002939003,0.000008371032,0.9987625,0.0002602647,0.0006773346],"genre_scores_gemma":[0.0004450334,0.00009273732,0.0002975892,0.0001101401,0.0000229815,0.0001197863,0.9974526,0.0002248019,0.001234299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.59048,"threshold_uncertainty_score":0.842248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1995371704396939,"score_gpt":0.3870489947546601,"score_spread":0.1875118243149662,"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."}}