{"id":"W6907162554","doi":"10.21223/p3/xaw0xy/m4hqxh","title":"COVA_FC_LONGREPORT_MR_RR_VERSION2_22FEB14_FINAL.xlsx","year":2018,"lang":"en","type":"dataset","venue":"International Potato Center","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Identification (biology); Product (mathematics); Recall","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000464964,0.0007971162,0.0005961896,0.0009030984,0.0001505839,0.0002998676,0.002222592,0.0004944879,0.02865379],"category_scores_gemma":[0.0003441538,0.0007875632,0.0005029708,0.0002708247,0.0003475577,0.000411771,0.0009542141,0.0008209365,0.1145686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008546617,"about_ca_system_score_gemma":0.000242534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004814146,"about_ca_topic_score_gemma":0.0003580322,"domain_scores_codex":[0.9948246,0.0001104039,0.001076519,0.001224823,0.002036388,0.0007272825],"domain_scores_gemma":[0.9962708,0.00008469031,0.001026881,0.001341629,0.000960591,0.0003154249],"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":[0.0002487681,0.0005175197,0.0006430169,0.00003642222,0.0006194744,0.0008474028,0.00001626025,0.000001668507,0.00001847246,0.00002574845,0.9969706,0.00005464233],"study_design_scores_gemma":[0.001286754,0.00008013214,0.0004336188,0.0002492508,0.0001049053,0.0006865734,0.000007255168,0.00002218138,0.00004907167,0.0001311274,0.9962127,0.0007363872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004574911,0.00003792228,0.000008802038,0.0004117583,0.01189684,0.0003893874,0.9819379,0.0001973257,0.00466259],"genre_scores_gemma":[0.0002521658,0.00006995755,0.0001761931,0.001640653,0.003112325,0.00005974927,0.9899804,0.0001589866,0.004549598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08591484,"threshold_uncertainty_score":0.9994575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935189237846402,"score_gpt":0.300957652619595,"score_spread":0.281605760241131,"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."}}