{"id":"W6910955004","doi":"10.5064/f6gzgcjb/oix3fm","title":"Lum_53031.Patient_PC_2017.09.25_Alberta.pdf","year":2022,"lang":"ru","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003423088,0.001376006,0.001199684,0.004022379,0.001412889,0.003491108,0.002901274,0.001872654,0.407336],"category_scores_gemma":[0.02158585,0.001297649,0.001182493,0.007958915,0.0005746917,0.001417364,0.00279648,0.001581645,0.2570219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004624391,"about_ca_system_score_gemma":0.008687998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1007007,"about_ca_topic_score_gemma":0.1644857,"domain_scores_codex":[0.9981109,0.0004395171,0.0002841542,0.0003722867,0.0004221612,0.0003709609],"domain_scores_gemma":[0.9882528,0.004802129,0.0007501875,0.002107873,0.003145396,0.0009416165],"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":[0.00004036233,0.000009638541,0.0003349187,0.0003616878,0.000007167566,0.000006148538,0.00003016798,0.00005483484,0.00001793498,0.0003588226,0.996129,0.002649303],"study_design_scores_gemma":[0.0004413357,0.00002463055,0.004589993,0.001193343,0.00002882185,0.0000406658,0.0002560001,0.0002254944,0.0002587957,0.001705513,0.9911885,0.00004679761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005721502,0.00003014456,0.00006469692,0.0001087738,0.00002146409,0.00002851723,0.9974455,0.000195144,0.002048598],"genre_scores_gemma":[0.000924108,0.0001464107,0.0005925619,0.0001755715,0.00002057881,0.0007107129,0.9907164,0.0002268378,0.006486806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8992993,"threshold_uncertainty_score":0.8453633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06737681732152269,"score_gpt":0.3316898906134234,"score_spread":0.2643130732919007,"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."}}