{"id":"W4402681860","doi":"10.51731/cjht.2024.982","title":"Optimal Team for Diagnostic Imaging Equipment Installation","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004009061,0.0001031931,0.0001709682,0.0004095028,0.00007721336,0.00006866342,0.0001493116,0.00006807342,0.000003941213],"category_scores_gemma":[0.000771301,0.00009264178,0.0000615872,0.0001672413,0.0000509471,0.00009786794,0.000007613043,0.0002609045,0.000002785486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890573,"about_ca_system_score_gemma":0.0004869505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000138704,"about_ca_topic_score_gemma":0.0001783401,"domain_scores_codex":[0.9991479,0.000005613927,0.0003624195,0.00008261162,0.00006852991,0.0003329582],"domain_scores_gemma":[0.9994265,0.0003057953,0.00003560614,0.0001082473,0.000058285,0.00006549899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000013619,0.000007420694,0.001176748,0.001248605,0.00006260868,0.00007944692,0.0003504213,0.326304,0.0000734346,0.003447837,0.02137036,0.6458777],"study_design_scores_gemma":[0.0002754943,0.0002535429,0.002792748,0.001523412,0.00002992789,0.0001624314,0.0008120802,0.1406732,0.0008510762,0.005275732,0.8469976,0.0003527541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.151519,0.5366668,0.2818953,0.01890946,0.007635275,0.0009828273,0.000135671,0.001746196,0.0005095145],"genre_scores_gemma":[0.995153,0.001107933,0.00364037,0.00002461916,0.00002727284,0.00001403109,0.000003137645,0.00002456701,0.000005039291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8436341,"threshold_uncertainty_score":0.3777822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009412333758549628,"score_gpt":0.2398435922171787,"score_spread":0.230431258458629,"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."}}