{"id":"W4404134239","doi":"10.2196/62740","title":"Measuring Bound Attention During Complex Liver Surgery Planning: Feasibility Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Preprint; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008711672,0.0005483193,0.0003994177,0.0004495965,0.0002638451,0.0003695063,0.0004576925,0.0005914501,0.002475196],"category_scores_gemma":[0.003759326,0.0002399073,0.0002874849,0.0002188351,0.0004956467,0.0004815244,0.0005755386,0.0003567546,0.0003009218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252395,"about_ca_system_score_gemma":0.0005127757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129035,"about_ca_topic_score_gemma":0.001786156,"domain_scores_codex":[0.9993556,0.0002743458,0.00003687596,0.0001515112,0.0001083551,0.00007316044],"domain_scores_gemma":[0.9983429,0.0009012748,0.0001595974,0.00009014389,0.0002885711,0.0002174936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02100242,0.01795041,0.3258243,0.002716196,0.000625626,0.002849746,0.009323447,0.004609359,0.321701,0.0009778503,0.001833808,0.2905858],"study_design_scores_gemma":[0.003036468,0.06998217,0.879405,0.0001330094,0.0006417976,0.003607041,0.003610288,0.01651633,0.01897375,0.0008591149,0.003073574,0.0001614896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907189,0.0001662901,0.00743072,0.00005280432,0.00002407152,0.0006420463,0.0000965396,0.0000256732,0.0008428472],"genre_scores_gemma":[0.9915799,0.0001491917,0.00681885,0.00008090428,0.00006124427,0.0009114068,0.00009643799,0.000007835626,0.0002943658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002475196,"threshold_uncertainty_score":0.008280396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5143319398077139,"score_gpt":0.4933766721620845,"score_spread":0.02095526764562938,"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."}}