{"id":"W4398579435","doi":"10.7910/dvn/bki1x3/0rpych","title":"table_e2.R","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","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":[],"category_scores_codex":[0.001494306,0.003845897,0.002508244,0.005282975,0.001436234,0.004932281,0.005422202,0.003665155,0.3156022],"category_scores_gemma":[0.01172674,0.001220187,0.002125403,0.007818711,0.0008181737,0.002819753,0.003378958,0.00264105,0.3477121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769955,"about_ca_system_score_gemma":0.002806801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933388,"about_ca_topic_score_gemma":0.03121996,"domain_scores_codex":[0.9986042,0.0002914056,0.0001226878,0.0005066153,0.0002326984,0.0002423337],"domain_scores_gemma":[0.9960473,0.001482478,0.0002656262,0.001059792,0.0007381935,0.0004065529],"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":[0.0000345773,0.00001060937,0.0002091584,0.0005404234,0.00002883608,0.000009568734,0.00001293478,0.0001131005,0.00005423508,0.0003125532,0.9978671,0.0008068524],"study_design_scores_gemma":[0.0003967912,0.00002435049,0.001374837,0.000403625,0.00005018669,0.00005359026,0.00005654508,0.0004241877,0.0003613768,0.00241839,0.9943926,0.00004365467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005456016,0.00007154795,0.00006262337,0.00008167238,0.00003594519,0.000007849133,0.9980873,0.0008356598,0.0007628477],"genre_scores_gemma":[0.0003765869,0.00007987189,0.000295732,0.0001133853,0.00001844625,0.0000792693,0.9975671,0.0004478359,0.001021773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6843978,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527331280422632,"score_gpt":0.2617973181278255,"score_spread":0.2365240053235992,"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."}}