{"id":"W6929752320","doi":"10.5064/f6gzgcjb/hcqukp","title":"Lum_53031.CarePart_PC_2017.09.25_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":[0.007745487,0.003336225,0.003675757,0.002853808,0.006876917,0.0008105394,0.0196392,0.001719679,0.1764107],"category_scores_gemma":[0.002953262,0.004385198,0.001204376,0.003220511,0.003864684,0.004727517,0.02574534,0.006340757,0.1901996],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007634686,"about_ca_system_score_gemma":0.004585567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02436357,"about_ca_topic_score_gemma":0.003464207,"domain_scores_codex":[0.9559518,0.02573811,0.002569009,0.007961375,0.004904741,0.002875042],"domain_scores_gemma":[0.9657295,0.006688343,0.005453246,0.01883491,0.001429981,0.00186397],"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":[0.002722033,0.002505491,0.00004351183,0.0009355255,0.006767165,0.01113814,0.02589688,0.00003085961,0.0005354896,0.0004409196,0.9489263,0.0000576693],"study_design_scores_gemma":[0.003282919,0.0007895831,0.00002876508,0.0004231471,0.006005219,0.0002994958,0.1092032,0.0001135461,0.00007273205,0.00002883503,0.875631,0.004121624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00111532,0.001858898,0.00004573076,0.0002864905,0.006380584,0.002569422,0.9812363,0.0005113555,0.005995918],"genre_scores_gemma":[0.00009753049,0.001034507,0.0006121513,0.0002118533,0.001145454,0.00002021371,0.9249296,0.0004818793,0.07146681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08330628,"threshold_uncertainty_score":0.9995763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432925307050746,"score_gpt":0.3378979066463331,"score_spread":0.2735686535758256,"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."}}