{"id":"W1995871604","doi":"10.1109/pg.2007.40","title":"Model Composition from Interchangeable Components","year":2007,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shuffling; Component (thermodynamics); Computer science; Set (abstract data type); Class (philosophy); Segmentation; Theoretical computer science; Artificial intelligence; Distributed computing; Human–computer interaction; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002204479,0.00008299371,0.000086584,0.0001515874,0.00007075844,0.0001156806,0.0005118286,0.00004208706,0.00001249379],"category_scores_gemma":[0.000001259276,0.00007917121,0.00004046873,0.0002323223,0.00001499545,0.000308601,0.0002737217,0.00005996599,0.00001680289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000227881,"about_ca_system_score_gemma":0.000007458504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282253,"about_ca_topic_score_gemma":0.00002204593,"domain_scores_codex":[0.999248,0.00001486958,0.0001755463,0.0002309687,0.0001699217,0.0001607523],"domain_scores_gemma":[0.9994676,0.00003881668,0.00004269792,0.0003092664,0.00007072531,0.0000709585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003885762,0.00009463506,0.0004448235,0.00000217316,0.000008291442,0.000003824464,0.0003870254,0.00003472164,0.008506634,0.9798456,0.001693528,0.00897488],"study_design_scores_gemma":[0.00010568,0.00002234385,0.001038164,0.00001165281,0.000001145968,0.000001321128,0.000002967927,0.9243234,0.02375592,0.05013116,0.0005019904,0.0001043035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03455881,0.00001864012,0.9617235,0.0001229874,0.0001301746,0.0000773777,0.000001854812,0.0005521409,0.002814532],"genre_scores_gemma":[0.7995144,0.000006594983,0.1995656,0.0008016404,0.0000268733,0.000002093271,0.00001715633,0.000004392039,0.00006116567],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9297144,"threshold_uncertainty_score":0.3228508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605848550307476,"score_gpt":0.3087601296102646,"score_spread":0.248175274579517,"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."}}