{"id":"W4409749546","doi":"10.2196/65235","title":"Patient and Public Perceptions of 3D Technologies (Models and Images) to Facilitate Health Care Consultations: Exploratory, Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Exploratory research; Health care; Perception; Psychology; Computer science; Sociology; Political 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":[0.02646079,0.0006273782,0.0009941477,0.002062763,0.002752195,0.002999065,0.0008208851,0.001683689,0.003236083],"category_scores_gemma":[0.02798173,0.0008383476,0.0012002,0.001783023,0.001563374,0.002253187,0.003051343,0.001314017,0.0004449535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017932,"about_ca_system_score_gemma":0.003096666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491482,"about_ca_topic_score_gemma":0.002276016,"domain_scores_codex":[0.9800946,0.01543538,0.001099878,0.000776374,0.001449502,0.001144335],"domain_scores_gemma":[0.9684798,0.02441971,0.00297052,0.0009939335,0.002365739,0.0007702149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002155079,0.009585636,0.1690446,0.002983663,0.0003555658,0.00183289,0.727875,0.0002230751,0.003509125,0.0009680022,0.00128577,0.08018151],"study_design_scores_gemma":[0.000692056,0.02125508,0.1342464,0.002153573,0.0005985266,0.002849978,0.820942,0.001354045,0.002777336,0.001086059,0.01181104,0.0002338307],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963555,0.0003878761,0.001017377,0.0002585555,0.000009207467,0.0008653019,0.0001717808,0.000007821657,0.0009264628],"genre_scores_gemma":[0.9905788,0.0009672338,0.003621474,0.0008734221,0.00003864337,0.003201395,0.0001211525,0.000008804604,0.0005890452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02646079,"threshold_uncertainty_score":0.1399397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08132382054220436,"score_gpt":0.4389839222420535,"score_spread":0.3576601016998491,"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."}}