{"id":"W6977545619","doi":"10.6084/m9.figshare.13152186","title":"Additional file 1 of Assessing and coping with the financial burden of computed tomography utilization in Limbe, Cameroon: a sequential explanatory mixed-methods study","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Coping (psychology); Computed tomography; 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":[0.00184999,0.0005339246,0.0006846674,0.00141189,0.001165504,0.0007142063,0.001059693,0.0006648964,0.6695809],"category_scores_gemma":[0.01973115,0.0003817271,0.0005315071,0.002460584,0.0002095238,0.001122806,0.000780063,0.0008371993,0.03539485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217598,"about_ca_system_score_gemma":0.002142687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154059,"about_ca_topic_score_gemma":0.03026094,"domain_scores_codex":[0.999422,0.0002524856,0.00009719058,0.00007104244,0.00007092376,0.00008644953],"domain_scores_gemma":[0.9907664,0.006804337,0.0008149677,0.000323302,0.001062555,0.0002284619],"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":[0.0004498795,0.0003767404,0.01295993,0.00356539,0.00004824812,0.0001290503,0.00133354,0.0003429171,0.00006038047,0.001478321,0.9604019,0.01885379],"study_design_scores_gemma":[0.008454687,0.001871147,0.3222746,0.01950671,0.0004602773,0.001059574,0.01868083,0.004877294,0.0008888398,0.01278874,0.6088217,0.0003156283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00574697,0.00007208044,0.0005736725,0.0004099571,0.00004735972,0.003217898,0.986528,0.00006655742,0.003337512],"genre_scores_gemma":[0.1309928,0.0009462186,0.01666382,0.001955156,0.000247517,0.1456285,0.6667577,0.0002976473,0.03651056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6695809,"threshold_uncertainty_score":0.4713027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07622988571319705,"score_gpt":0.3628500197729113,"score_spread":0.2866201340597143,"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."}}