{"id":"W6910982271","doi":"10.5064/f6gzgcjb/wuho2q","title":"Lum_53074.CarePart_PC_2018.01.21_Alberta.pdf","year":2022,"lang":"de","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.007469414,0.003335953,0.003643872,0.002865771,0.006216282,0.0007435541,0.01887612,0.001718153,0.167151],"category_scores_gemma":[0.002756553,0.004376509,0.001192115,0.003604696,0.003875664,0.004761615,0.02503476,0.006096191,0.1646694],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007738399,"about_ca_system_score_gemma":0.004510582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01865842,"about_ca_topic_score_gemma":0.003262838,"domain_scores_codex":[0.9559733,0.02575076,0.002612157,0.007846317,0.004932644,0.002884871],"domain_scores_gemma":[0.9668322,0.006883185,0.005217023,0.01796227,0.001205543,0.001899768],"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":[0.003223268,0.0025824,0.00004278975,0.0009666589,0.006683463,0.009965125,0.02399534,0.0000267747,0.0005563062,0.0005479009,0.9513791,0.00003085718],"study_design_scores_gemma":[0.003359564,0.0008788708,0.00003034956,0.0004175232,0.005657497,0.0002818123,0.123673,0.0001120291,0.00006698041,0.00003683259,0.8614372,0.004048301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001042817,0.001777037,0.00005470982,0.0002893236,0.006445749,0.002603092,0.9809991,0.0005794903,0.006208661],"genre_scores_gemma":[0.0001269167,0.001080359,0.0008296239,0.0002817763,0.001229902,0.00002071269,0.9384884,0.0005223678,0.05741999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0996777,"threshold_uncertainty_score":0.9995778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06112545781282063,"score_gpt":0.3347083968724192,"score_spread":0.2735829390595985,"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."}}