{"id":"W2160167197","doi":"10.48550/arxiv.1002.4392","title":"Complete Context Calculus Design and Implementation in GIPSY","year":2010,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Context (archaeology); Computer science; Calculus (dental); Java; Programming language; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002253446,0.00007913856,0.00008770306,0.0001330937,0.00008680437,0.00004870498,0.0003250758,0.00004281357,0.00001299519],"category_scores_gemma":[0.00001001391,0.00009048925,0.00001915748,0.0003368575,0.00004267201,0.000290916,0.0001298912,0.0001213773,0.000009952776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002204255,"about_ca_system_score_gemma":0.00002916388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001345139,"about_ca_topic_score_gemma":0.0001358527,"domain_scores_codex":[0.9993541,0.00007470207,0.00009343172,0.000294392,0.00003124884,0.000152108],"domain_scores_gemma":[0.999545,0.00007252875,0.00005405813,0.0002242938,0.0000435599,0.00006050469],"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":[0.00002065398,0.000058235,0.01105798,0.000007711187,0.00001234714,0.00009146361,0.0007266805,0.03856425,0.001787763,0.9330744,0.0007166107,0.01388192],"study_design_scores_gemma":[0.0005523495,0.00004653387,0.003628403,0.000004738479,0.000002920906,0.000006276023,0.00005549718,0.9867466,0.0006118037,0.007438449,0.0007672514,0.0001391447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1335215,0.000008135403,0.8657438,0.00008377906,0.00006024024,0.0001273735,7.87317e-7,0.0001355534,0.0003187447],"genre_scores_gemma":[0.9623671,0.00001510332,0.0374143,0.0001223807,0.000007797443,4.255018e-7,0.000001781326,0.000003496617,0.00006764763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9481824,"threshold_uncertainty_score":0.3690045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05651109504330517,"score_gpt":0.2161779008008363,"score_spread":0.1596668057575311,"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."}}