{"id":"W2889036367","doi":"10.1109/vr.2018.8446199","title":"Selecting Invisible Objects","year":2018,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Object (grammar); Layer (electronics); Computer vision; Human–computer interaction; Computer graphics (images)","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":[0.0006252934,0.001070955,0.00066409,0.0007506043,0.0005558758,0.002020918,0.001055478,0.0007934127,0.007845081],"category_scores_gemma":[0.003187108,0.0004541219,0.0008260872,0.0004641217,0.0005395989,0.002046125,0.003660307,0.0007394493,0.001797459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660511,"about_ca_system_score_gemma":0.0003335928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007100242,"about_ca_topic_score_gemma":0.001293946,"domain_scores_codex":[0.9994062,0.0001003344,0.00004739264,0.00009868135,0.0002509113,0.00009646023],"domain_scores_gemma":[0.9979492,0.0009626547,0.0001658999,0.0004108413,0.0002796013,0.0002318728],"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":[0.001248062,0.00021297,0.004057551,0.001155662,0.00008997555,0.0009049011,0.003787917,0.002707585,0.4700411,0.01865495,0.00800613,0.4891332],"study_design_scores_gemma":[0.0004239357,0.002101505,0.0182454,0.0009237839,0.0006273842,0.004790767,0.00232313,0.08512644,0.51482,0.02615518,0.3437102,0.0007522252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1197719,0.001459523,0.8520781,0.000360758,0.0002300236,0.0001725408,0.0003665782,0.006520168,0.01904043],"genre_scores_gemma":[0.4445047,0.001426198,0.5400046,0.0005670859,0.00009386685,0.0002815285,0.0005697191,0.001158409,0.01139391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007845081,"threshold_uncertainty_score":0.0262444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854442100353304,"score_gpt":0.2592072026790374,"score_spread":0.2493527605786841,"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."}}