{"id":"W7075294110","doi":"","title":"Detecting the Point of Release of Virtual Projectiles in AR/VR","year":2021,"lang":"en","type":"other","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"ADAPT - Centre for Digital Content Technology; Science Foundation Ireland","keywords":"Throwing; Motion (physics); Point (geometry); Projectile; Rotation (mathematics); Feature (linguistics); Tracking (education); Metric (unit); Match moving","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":[0.0007442286,0.0006548442,0.0005794187,0.001033048,0.0001856466,0.0007283068,0.0005613666,0.0006458748,0.002097074],"category_scores_gemma":[0.003358196,0.0003047908,0.000282588,0.0003359231,0.0003248611,0.0006230007,0.001010994,0.0005367315,0.001098729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554524,"about_ca_system_score_gemma":0.0001806734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248671,"about_ca_topic_score_gemma":0.00145916,"domain_scores_codex":[0.9992269,0.0001467518,0.00002088696,0.0001446459,0.0003460615,0.0001147576],"domain_scores_gemma":[0.9987765,0.0004083723,0.0002544672,0.0001102092,0.0002779705,0.0001724668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004342886,0.0003128567,0.07437149,0.0006700338,0.0002157573,0.001463089,0.001271259,0.04354748,0.3851202,0.001203504,0.00459297,0.4828884],"study_design_scores_gemma":[0.0001617462,0.003976462,0.3574239,0.0003474616,0.0001563754,0.003427503,0.00199342,0.4997441,0.1235293,0.002111117,0.006948833,0.0001797782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668255,0.0004819145,0.1257828,0.00008761972,0.00008912259,0.0001079343,0.0005012676,0.001823762,0.004300022],"genre_scores_gemma":[0.9716924,0.0001551247,0.02623766,0.00002550825,0.00001523993,0.00003933326,0.000378147,0.00007038858,0.00138608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002097074,"threshold_uncertainty_score":0.007015407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007424927285062211,"score_gpt":0.2313996853595575,"score_spread":0.2239747580744952,"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."}}