{"id":"W6963633837","doi":"10.25384/sage.22705236","title":"sj-pdf-1-mpp-10.1177_23814683231168589 – Supplemental material for “To Be or Not to Be”—Cardiopulmonary Resuscitation for Hospitalized People Who Have a Low Probability of Benefit: Qualitative Analysis of Semi-structured Interviews","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Qualitative analysis; Qualitative research; Resuscitation; Statistical analysis; Content analysis","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":[0.003369943,0.0004898146,0.0004789506,0.002047224,0.001277464,0.002974266,0.001546381,0.001678785,0.8923578],"category_scores_gemma":[0.02571192,0.0005316287,0.0002702281,0.004480612,0.0006352717,0.002198176,0.002187144,0.001461794,0.6042083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811531,"about_ca_system_score_gemma":0.003523107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007300335,"about_ca_topic_score_gemma":0.01089021,"domain_scores_codex":[0.9983622,0.0005571226,0.0001379863,0.0001221341,0.0006536179,0.0001669784],"domain_scores_gemma":[0.9666061,0.02484942,0.0006412482,0.001060664,0.005306567,0.00153591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003369654,0.00006344476,0.0001659868,0.0002131556,0.000001252583,0.00002180273,0.0003968226,0.00002629084,0.0001226122,0.0005730485,0.9846161,0.0137658],"study_design_scores_gemma":[0.0001679879,0.00006168555,0.0043185,0.0007354828,0.000003603853,0.00008057351,0.003629825,0.0002118487,0.000445442,0.002923092,0.9873846,0.00003746638],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004510189,0.0002197613,0.004856413,0.008576906,0.002229754,0.00274604,0.4941554,0.008310327,0.4743952],"genre_scores_gemma":[0.0316659,0.000736468,0.01926256,0.003864827,0.000749744,0.01281756,0.2648693,0.01017081,0.6558628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8923578,"threshold_uncertainty_score":0.1535384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07421276675468906,"score_gpt":0.4062952441082215,"score_spread":0.3320824773535324,"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."}}