{"id":"W2896357116","doi":"10.1007/978-3-030-01388-2_4","title":"Interaction for Immersive Analytics","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Human–computer interaction; Visual analytics; Analytics; Visualization; Data science; Data visualization; Data exploration; Artificial intelligence","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":[0.0005823678,0.001690205,0.0006860344,0.0005459105,0.000537027,0.002863832,0.001281511,0.001418567,0.05812313],"category_scores_gemma":[0.001553411,0.0007016316,0.0006917429,0.0005565828,0.001012759,0.004225542,0.006155418,0.002033164,0.007815796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055767,"about_ca_system_score_gemma":0.0001950566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775569,"about_ca_topic_score_gemma":0.0005300218,"domain_scores_codex":[0.9993914,0.0001832309,0.00002415118,0.00008950117,0.0002449572,0.00006667585],"domain_scores_gemma":[0.9992555,0.0004744012,0.00002146626,0.0001238771,0.00007655275,0.00004814259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000224645,0.000175216,0.0003484661,0.002237181,0.0001257201,0.0005079553,0.003295271,0.007236876,0.08146211,0.184759,0.0899112,0.6297163],"study_design_scores_gemma":[0.00006436743,0.000284859,0.001047801,0.001204642,0.00008057431,0.002024938,0.00110808,0.03385547,0.02947375,0.1438673,0.7868538,0.000134312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006851272,0.01702387,0.8782472,0.0009169536,0.001416949,0.00009084601,0.0004357033,0.004013571,0.09100361],"genre_scores_gemma":[0.2282887,0.02343431,0.5018138,0.001707749,0.001373617,0.0009401101,0.002188193,0.002756921,0.2374965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05812313,"threshold_uncertainty_score":0.1944413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03413281021332345,"score_gpt":0.3160419451228415,"score_spread":0.281909134909518,"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."}}