{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007116063,0.0006968188,0.0005042057,0.002793294,0.006067213,0.004282421,0.002114227,0.001742733,0.03526817],"category_scores_gemma":[0.01909687,0.0006750128,0.0008172301,0.001043449,0.0009851997,0.00321081,0.005339603,0.002733342,0.007419771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006431377,"about_ca_system_score_gemma":0.0225287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579236,"about_ca_topic_score_gemma":0.03692392,"domain_scores_codex":[0.9918808,0.003161045,0.0006527582,0.0007445922,0.001979196,0.001581427],"domain_scores_gemma":[0.9854252,0.001418919,0.001431386,0.0004735059,0.004195564,0.007055493],"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":[0.0005371125,0.001931478,0.07870109,0.001530089,0.0001198955,0.00739093,0.0129399,0.00568373,0.006041714,0.0160419,0.2170711,0.652011],"study_design_scores_gemma":[0.000477729,0.002675579,0.2166837,0.007727576,0.0002542078,0.02323518,0.1268155,0.02148918,0.006416184,0.05940454,0.5341734,0.0006473018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.291511,0.01245045,0.3277896,0.1229221,0.007605003,0.008433184,0.001518894,0.003852468,0.2239173],"genre_scores_gemma":[0.6193808,0.00652109,0.3235722,0.008094124,0.001447347,0.003307744,0.001564992,0.0005140008,0.03559768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03526817,"threshold_uncertainty_score":0.1179838,"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."}}