{"id":"W7093400772","doi":"","title":"Virtual Inclusion","year":2008,"lang":"en","type":"report","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Virtual machine; Inclusion (mineral); Virtual actor; Virtual reality; Virtual world; Extension (predicate logic); Mechanism (biology); Virtual Laboratory","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.001585769,0.002362319,0.003901255,0.008594777,0.001474455,0.00005493361,0.004780893,0.007757214,0.0002966212],"category_scores_gemma":[0.004951908,0.002411197,0.00119367,0.005374463,0.005269601,0.0008676692,0.01010082,0.004962041,0.002477714],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003640413,"about_ca_system_score_gemma":0.007154187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006667229,"about_ca_topic_score_gemma":0.0007791016,"domain_scores_codex":[0.9867525,0.0001311368,0.00280527,0.002759044,0.00545696,0.002095069],"domain_scores_gemma":[0.9875216,0.00008892935,0.003918824,0.005357363,0.002677614,0.0004356403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002766605,0.001654468,0.007300039,0.0008283968,0.002812423,0.003533051,0.0006546409,0.0002901704,0.01974191,0.004517207,0.885496,0.07289509],"study_design_scores_gemma":[0.001703006,0.0005800662,0.0004479925,0.001553281,0.0005982771,0.001546775,0.00007434122,0.00003833144,0.01129726,0.0007126356,0.9793272,0.002120828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2744206,0.04565432,0.001776832,0.01432297,0.03541193,0.009948552,0.01461804,0.0246863,0.5791605],"genre_scores_gemma":[0.9038285,0.02251276,0.02201239,0.0002316602,0.002148828,0.0007429494,0.00298716,0.002252204,0.04328353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6294079,"threshold_uncertainty_score":0.9998255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769636163414853,"score_gpt":0.2871091202894214,"score_spread":0.2594127586552729,"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."}}