{"id":"W4251021083","doi":"10.22360/springsim.2017.tmsdevs.027","title":"The Experiment Model and Validity Frame in M&S","year":2017,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Frame (networking); Context (archaeology); Simple (philosophy); Process (computing); Context model; Frame of reference; Model validation; Experimental data; Artificial intelligence; Data mining; Data science; Mathematics; Programming language","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":[0.02955931,0.001305878,0.001472382,0.002866971,0.00286439,0.007830624,0.004128103,0.00567635,0.01067987],"category_scores_gemma":[0.05582635,0.001356287,0.001644505,0.00142228,0.01755513,0.01324958,0.005660314,0.00548165,0.002465235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005217905,"about_ca_system_score_gemma":0.008782442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005327885,"about_ca_topic_score_gemma":0.002915322,"domain_scores_codex":[0.965674,0.02038479,0.002031649,0.004549829,0.006310225,0.001049466],"domain_scores_gemma":[0.9532622,0.02918885,0.002579168,0.01003853,0.004059836,0.0008714675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001414361,0.0000474133,0.0003134885,0.0001451748,0.000009147972,0.00008191744,0.0004751841,0.005055993,0.0008787236,0.9820004,0.0009133751,0.009937757],"study_design_scores_gemma":[0.0001818123,0.0003585682,0.0007940009,0.0006788852,0.00005633706,0.0001180052,0.0006807122,0.05249865,0.007175451,0.8693794,0.0679777,0.0001004082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01224818,0.0007684616,0.916414,0.005533507,0.0005885671,0.0008599208,0.0008557232,0.0008048518,0.06192691],"genre_scores_gemma":[0.3514226,0.0006031748,0.6336818,0.001595926,0.0004752908,0.003812824,0.00073669,0.0003249075,0.007346828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02955931,"threshold_uncertainty_score":0.1563265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.504616395191988,"score_gpt":0.5403904728621537,"score_spread":0.03577407767016572,"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."}}