{"id":"W4286914154","doi":"10.70725/280935iwokyv","title":"Enriching Internship with 360° Video","year":2021,"lang":"en","type":"article","venue":"Journal of Technology and Teacher Education","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Internship; Computer science; Computer graphics (images); Medicine; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009454222,0.0002535583,0.0002275921,0.0004050408,0.0005378585,0.0009999513,0.0003880765,0.0003479077,0.006900609],"category_scores_gemma":[0.003817488,0.00007586446,0.0002262292,0.0002564503,0.0004195429,0.000656472,0.001871983,0.0005563232,0.0007587423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384278,"about_ca_system_score_gemma":0.0004111865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004846627,"about_ca_topic_score_gemma":0.001420049,"domain_scores_codex":[0.9992693,0.0003954078,0.00002201715,0.00005911328,0.0001172961,0.0001368086],"domain_scores_gemma":[0.9982046,0.000902338,0.0001390498,0.0001322151,0.0001673059,0.0004544317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00184653,0.004374058,0.03383611,0.003611363,0.00008789614,0.002364389,0.1288157,0.001098193,0.07691273,0.005812185,0.02153712,0.7197037],"study_design_scores_gemma":[0.0004688266,0.009445531,0.2706182,0.002190075,0.0002951989,0.005305463,0.2306081,0.002328359,0.02654316,0.004956277,0.446956,0.0002848264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480529,0.00071128,0.01161998,0.0005963465,0.0001875228,0.0003552236,0.0002877128,0.000219456,0.03796965],"genre_scores_gemma":[0.9747646,0.001029228,0.01384193,0.0002646997,0.00008975395,0.0002873798,0.000165998,0.00005241672,0.009504056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006900609,"threshold_uncertainty_score":0.02308482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253873229390999,"score_gpt":0.2820407046127122,"score_spread":0.2695019723188022,"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."}}