{"id":"W6977080419","doi":"10.6084/m9.figshare.15079915.v1","title":"Additional file 2 of Public involvement in the priority setting activities of a wait time management initiative: a qualitative case study","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public involvement; Qualitative research; Time management; Context (archaeology); Data collection","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":[0.004621222,0.0004874037,0.0007228719,0.003121873,0.002283731,0.002117352,0.001734986,0.001330527,0.8951657],"category_scores_gemma":[0.04901239,0.000427245,0.0005217785,0.006066422,0.0005326041,0.002889721,0.001319991,0.001163192,0.1317998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003458115,"about_ca_system_score_gemma":0.005857639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02841255,"about_ca_topic_score_gemma":0.04010463,"domain_scores_codex":[0.9985661,0.0006454103,0.0001649059,0.0001591193,0.0002672474,0.0001973304],"domain_scores_gemma":[0.9053637,0.0831294,0.001658418,0.001655387,0.006806996,0.001386141],"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":[0.0001309343,0.0001526602,0.001327081,0.001868765,0.000006716883,0.000140456,0.003039527,0.0002656851,0.00003731785,0.003306716,0.9762061,0.01351792],"study_design_scores_gemma":[0.002007051,0.0002117282,0.01895411,0.007193617,0.00004900647,0.000375638,0.02839642,0.00119483,0.0004160147,0.01537322,0.9256722,0.0001562486],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00212409,0.00004758215,0.001322415,0.001484405,0.0001730394,0.001801796,0.9716541,0.0003392783,0.02105332],"genre_scores_gemma":[0.1267742,0.0008149479,0.03341164,0.005080162,0.0003599168,0.07790506,0.5636107,0.00239198,0.1896514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8951657,"threshold_uncertainty_score":0.1495333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450081259423381,"score_gpt":0.2835650307065561,"score_spread":0.1385569047642181,"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."}}