{"id":"W3130479549","doi":"","title":"Semi-automated calibration of an activity-based CA model","year":2016,"lang":"en","type":"article","venue":"","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Calibration; Computer science; Environmental science; Chemistry; Mathematics; Statistics","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":[0.0007821155,0.0009184757,0.001166792,0.0009960638,0.0004293333,0.001355164,0.00121576,0.001255062,0.002782793],"category_scores_gemma":[0.003675347,0.0005387915,0.0008351165,0.0009833645,0.0002318499,0.0006293146,0.0007528203,0.001206723,0.002171369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004701272,"about_ca_system_score_gemma":0.001536536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608971,"about_ca_topic_score_gemma":0.01398116,"domain_scores_codex":[0.9994369,0.0001212899,0.00003922149,0.0002416996,0.0001141904,0.0000467939],"domain_scores_gemma":[0.9990129,0.0003740547,0.00007371009,0.0001708198,0.0003208906,0.00004765689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005761088,0.0002664053,0.01452356,0.0002379683,0.0003356496,0.0002319106,0.0001551262,0.5587021,0.02092733,0.001880198,0.008138379,0.3940252],"study_design_scores_gemma":[0.00002360098,0.00002572124,0.003981574,0.00001433801,0.00002929197,0.0001110655,0.00001030812,0.9904218,0.002583811,0.000911349,0.001868199,0.00001911258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04286676,0.0002539824,0.9475502,0.0001233786,0.0001085992,0.00008317742,0.0008420611,0.00615871,0.002013063],"genre_scores_gemma":[0.7293364,0.0002431306,0.2642957,0.0001241656,0.00008524032,0.0002158384,0.002208347,0.0004582237,0.003033015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01608971,"threshold_uncertainty_score":0.03199214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712089247098552,"score_gpt":0.2650522973022952,"score_spread":0.2479314048313097,"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."}}