{"id":"W3149228704","doi":"10.1109/compsac.2008.200","title":"Design and Implementation of Context Calculus in the GIPSY Environment","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Context (archaeology); Computer science; Java; Programming language; Calculus (dental); Archaeology; History","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":[0.001595932,0.0004622214,0.000560843,0.0006838269,0.0008155229,0.00287659,0.001918094,0.0008983441,0.002534677],"category_scores_gemma":[0.002159928,0.0006384596,0.000914662,0.0004371352,0.001850493,0.00230844,0.002510562,0.001886985,0.0008644637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176827,"about_ca_system_score_gemma":0.002268282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438191,"about_ca_topic_score_gemma":0.003813007,"domain_scores_codex":[0.9988577,0.0002397671,0.00009045121,0.0002232936,0.0003982557,0.0001903627],"domain_scores_gemma":[0.999577,0.0001313466,0.00004284923,0.00009911058,0.0000881175,0.00006156787],"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":[0.0003297367,0.0001655786,0.002486719,0.0004801765,0.0001115862,0.001678937,0.00239256,0.02404477,0.04526576,0.7972465,0.00543876,0.1203589],"study_design_scores_gemma":[0.0002789704,0.0003801473,0.0023229,0.0003637454,0.0003900372,0.001591174,0.0006440587,0.3386633,0.1002528,0.2717819,0.2831247,0.0002062053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01533001,0.0002659111,0.9693322,0.0002182682,0.00008437926,0.0002184223,0.00008009173,0.007025227,0.007445488],"genre_scores_gemma":[0.3063875,0.0006005823,0.6817453,0.0003323072,0.00008168764,0.0004246978,0.0002687046,0.0008072302,0.009352044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003438191,"threshold_uncertainty_score":0.008538485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657647472860695,"score_gpt":0.2895364971131545,"score_spread":0.2329600223845476,"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."}}