{"id":"W6925606675","doi":"10.18710/vttnxm/iamnnn","title":"Action-Overview-Summary.csv","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Task (project management); Identification (biology); Product (mathematics); Data collection; Work (physics)","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":[0.0009829781,0.003662078,0.00128527,0.003362575,0.0008694893,0.00169403,0.002274631,0.002489084,0.1346267],"category_scores_gemma":[0.00457098,0.0007242044,0.001582237,0.003311875,0.0003952893,0.001326284,0.00180162,0.001551209,0.1584239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235007,"about_ca_system_score_gemma":0.002239862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353022,"about_ca_topic_score_gemma":0.07308226,"domain_scores_codex":[0.9989913,0.000165022,0.0001261191,0.0003225527,0.0002174736,0.0001775881],"domain_scores_gemma":[0.9971161,0.0009229976,0.0002022904,0.0008043192,0.0006282865,0.0003259905],"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":[0.0001256863,0.00005242814,0.0006867959,0.0005271819,0.00001505253,0.00001284055,0.00002456599,0.0002081195,0.0001473123,0.0001852232,0.9935613,0.004453473],"study_design_scores_gemma":[0.0005468616,0.00008013037,0.006461385,0.0003212464,0.0000413542,0.00007272791,0.0001360038,0.001157819,0.001108243,0.00149123,0.9885274,0.00005567847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002415919,0.00006521468,0.0001552345,0.00004586522,0.00003825326,0.00003919422,0.9967438,0.001336454,0.001334516],"genre_scores_gemma":[0.0005890134,0.00004639583,0.0005684751,0.00004148838,0.00000941541,0.0001860405,0.9971367,0.0001367776,0.001285704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8653733,"threshold_uncertainty_score":0.4503712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3461348285894229,"score_gpt":0.4909172231738784,"score_spread":0.1447823945844555,"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."}}