{"id":"W6959262713","doi":"10.7939/dvn/fnhroz/wflafc","title":"CPP.keys","year":2020,"lang":"ru","type":"dataset","venue":"University of Alberta Library","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009986964,0.002521651,0.002597062,0.005315048,0.001339862,0.005280294,0.00366766,0.002232768,0.3397204],"category_scores_gemma":[0.008890637,0.001251572,0.001176342,0.01378059,0.0005245549,0.002961935,0.003049252,0.001719479,0.4505113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826482,"about_ca_system_score_gemma":0.005512685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1021611,"about_ca_topic_score_gemma":0.1824897,"domain_scores_codex":[0.9989784,0.0001382322,0.00007923925,0.0003682759,0.0002130597,0.0002229418],"domain_scores_gemma":[0.9960802,0.000893023,0.0002362535,0.001010185,0.001265599,0.0005147488],"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":[0.00003283312,0.00000449657,0.0001395768,0.0003219136,0.000007141012,0.000005333635,0.00001315261,0.00007352647,0.00003244416,0.0004214286,0.9974124,0.00153579],"study_design_scores_gemma":[0.00006513063,0.000003831015,0.0005235717,0.0001263364,0.000008280321,0.000009319691,0.00003364412,0.00009182824,0.00008592849,0.0008572048,0.9981828,0.00001209821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002463038,0.00005242148,0.0000419858,0.00004192167,0.00001350374,0.000006134566,0.9971854,0.000699563,0.001934425],"genre_scores_gemma":[0.0002392831,0.0001371642,0.0002723692,0.00007164843,0.000009265016,0.00004708557,0.9968664,0.0003838844,0.001972863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6602796,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036898122397507,"score_gpt":0.1583156721582017,"score_spread":0.1479466909342266,"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."}}