{"id":"W6891652364","doi":"10.4224/8913600","title":"Virtual reality spaces: visual data mining with a hybrid computational intelligence tool","year":2006,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences","keywords":"Interpretability; Visualization; Domain (mathematical analysis); Identification (biology); Variety (cybernetics); Process (computing); Virtual reality; Data visualization; Knowledge extraction","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":[0.001776797,0.000881088,0.000740168,0.002940832,0.0005776886,0.004539642,0.001752366,0.0009248798,0.003575821],"category_scores_gemma":[0.004661533,0.0005223468,0.001582365,0.00266254,0.00152952,0.002825226,0.003605257,0.001034457,0.0009342586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814155,"about_ca_system_score_gemma":0.0006901033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448286,"about_ca_topic_score_gemma":0.001430059,"domain_scores_codex":[0.9984571,0.0007191331,0.00008052814,0.0001828216,0.0004874839,0.00007291704],"domain_scores_gemma":[0.99835,0.0009574881,0.0001039568,0.0003007229,0.0001958845,0.00009204152],"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":[0.0005168528,0.000319933,0.002595834,0.0008066628,0.000461945,0.0008356551,0.0025715,0.08470515,0.01790513,0.1718894,0.02349919,0.6938927],"study_design_scores_gemma":[0.0001876145,0.0003105692,0.002402157,0.0003010087,0.0001704663,0.001544947,0.001238894,0.6452389,0.01799789,0.2272,0.1032148,0.0001928189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004599657,0.0003734548,0.9898004,0.0003625908,0.0000572159,0.0001130334,0.0002288867,0.001228558,0.003236226],"genre_scores_gemma":[0.06056035,0.0005283613,0.936802,0.0001447177,0.00005806359,0.000290513,0.0004049536,0.000127806,0.001083304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004539642,"threshold_uncertainty_score":0.01196235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032234627613313,"score_gpt":0.3664204498300002,"score_spread":0.2631969870686689,"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."}}