{"id":"W4398883270","doi":"10.7910/dvn/v1rjpf/qjjpwh","title":"iqa20160108_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00162109,0.003674224,0.002495772,0.005567197,0.00146764,0.005656008,0.005137295,0.004045124,0.3094108],"category_scores_gemma":[0.01086128,0.001260241,0.002118239,0.009830157,0.0009082154,0.003494871,0.004256306,0.002673904,0.3673291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419798,"about_ca_system_score_gemma":0.002845926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03363521,"about_ca_topic_score_gemma":0.04907832,"domain_scores_codex":[0.9985869,0.0002887787,0.0001374895,0.0004362434,0.0002596703,0.0002910043],"domain_scores_gemma":[0.9964018,0.001079143,0.0002928177,0.0009008209,0.0008978748,0.0004275493],"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":[0.0000301639,0.000007942723,0.0001575069,0.0004551447,0.00001871414,0.000006484739,0.0000139841,0.0001121611,0.00003676073,0.0003423983,0.9981661,0.0006525168],"study_design_scores_gemma":[0.0003049628,0.00001962242,0.001291337,0.0004013294,0.00003166181,0.00002762356,0.00007803008,0.0003102871,0.000221195,0.002136594,0.9951404,0.00003690062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000272452,0.00004916241,0.00003014504,0.00008206839,0.00003016189,0.000005330575,0.9986681,0.0004441621,0.000663692],"genre_scores_gemma":[0.0002087614,0.00005995848,0.0001365919,0.00009311498,0.0000148721,0.000049253,0.9984647,0.000213088,0.000759658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6905892,"threshold_uncertainty_score":0.9850417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417755824756727,"score_gpt":0.254067136642139,"score_spread":0.2298895783945717,"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."}}