{"id":"W4386726268","doi":"10.2196/42154","title":"Creating Custom Immersive 360-Degree Videos for Use in Clinical and Nonclinical Settings: Tutorial","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Variety (cybernetics); Set (abstract data type); Pipeline (software); Virtual reality; Human–computer interaction; Visualization; Multimedia; Process (computing); Software deployment; Software engineering; Artificial intelligence","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":[0.0007697876,0.001727563,0.0003800267,0.0007942175,0.0003108668,0.001246886,0.0009736355,0.0009607207,0.03311403],"category_scores_gemma":[0.002604759,0.0004007868,0.0007617609,0.0003287798,0.0003250222,0.002025605,0.001482797,0.001016392,0.01032925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003253449,"about_ca_system_score_gemma":0.0005039491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005087039,"about_ca_topic_score_gemma":0.001135248,"domain_scores_codex":[0.9997911,0.00004898955,0.00001403266,0.00002610674,0.00008384052,0.00003599196],"domain_scores_gemma":[0.998912,0.0006677839,0.00004929302,0.00004690649,0.0001810198,0.0001430623],"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":[0.0001907174,0.0009051816,0.000693672,0.002805299,0.00003551734,0.001183035,0.004262267,0.003957367,0.03699616,0.01129426,0.2578879,0.6797888],"study_design_scores_gemma":[0.00005434682,0.0007235394,0.002744374,0.001291505,0.00002600028,0.003531722,0.0008046415,0.007232383,0.01283007,0.004440534,0.9662175,0.0001035123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05910015,0.01792037,0.723255,0.004548935,0.00500962,0.005809898,0.003267669,0.02346811,0.1576203],"genre_scores_gemma":[0.06305628,0.03034044,0.7057257,0.002670265,0.001981276,0.003039342,0.003930234,0.004021192,0.1852352],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03311403,"threshold_uncertainty_score":0.1107775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07309794904477263,"score_gpt":0.4309120314366632,"score_spread":0.3578140823918906,"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."}}