{"id":"W6903056394","doi":"10.7939/dvn/nd1f1a/ppzxml","title":"CPP.keys","year":2020,"lang":"ru","type":"dataset","venue":"University of Alberta Library","topic":"","field":"","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":[0.001084873,0.003581711,0.002563494,0.005739118,0.001554104,0.005155985,0.003728943,0.003148522,0.3414089],"category_scores_gemma":[0.008974582,0.001508592,0.00134407,0.01120734,0.0007018031,0.004035695,0.003644245,0.002124686,0.5342379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268494,"about_ca_system_score_gemma":0.003939896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05510988,"about_ca_topic_score_gemma":0.08856906,"domain_scores_codex":[0.9987954,0.0001746886,0.00008742749,0.000427671,0.0002562322,0.000258559],"domain_scores_gemma":[0.9961563,0.0008722119,0.0001880561,0.001152337,0.001173205,0.0004578277],"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":[0.00003832633,0.000006622186,0.000101333,0.0003396375,0.000006096893,0.000005577908,0.00001255111,0.00005725493,0.00004686754,0.0002615385,0.9975694,0.001554697],"study_design_scores_gemma":[0.0001006238,0.000008884454,0.0006467749,0.0001494957,0.000009047733,0.00001851208,0.00005264751,0.0001367316,0.0002009002,0.0009716832,0.9976842,0.00002041071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004464835,0.00007908816,0.0000511644,0.00006255601,0.00002844397,0.000009827284,0.9962419,0.001333309,0.002149057],"genre_scores_gemma":[0.0002913402,0.0001192396,0.0002387714,0.00008214416,0.00001401283,0.00005765844,0.9967819,0.0005136327,0.001901226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.658591,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009203911150529378,"score_gpt":0.1724174241482884,"score_spread":0.163213512997759,"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."}}