{"id":"W2099614270","doi":"10.1123/pes.18.2.193","title":"Development of the Habitual Activity Estimation Scale for Clinical Research: A Systematic Approach","year":2006,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reliability (semiconductor); Scale (ratio); Measure (data warehouse); Physical activity; Medicine; Construct (python library); Physical therapy; Estimation; Intensive care medicine; Physical medicine and rehabilitation; Computer science; Data mining","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01876071,0.0001342486,0.000430056,0.00029894,0.002657672,0.00001817706,0.0007884398,0.0001901092,0.000005983088],"category_scores_gemma":[0.002129008,0.00008722067,0.0001049711,0.002199511,0.0004172802,0.0002192916,0.0003349934,0.0006523115,0.00004714852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620078,"about_ca_system_score_gemma":0.004579261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000956747,"about_ca_topic_score_gemma":0.0000520061,"domain_scores_codex":[0.9953284,0.0007756979,0.001224153,0.0004865794,0.001365292,0.0008199124],"domain_scores_gemma":[0.9961377,0.001678843,0.0005977182,0.0005485557,0.0008515692,0.0001856035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002322014,0.001189998,0.8605585,0.1008611,0.00000429804,5.466704e-7,0.01114197,0.0000841031,0.0001166053,0.001145852,0.01622889,0.008435963],"study_design_scores_gemma":[0.001571674,0.00007743299,0.9721901,0.002185449,0.0001499676,0.000001271706,0.003780147,0.01796424,0.0001695019,0.001206174,0.0002881386,0.0004158567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808922,0.0003230619,0.01094852,0.0002856031,0.0009406239,0.005426232,0.00001517757,0.00005229985,0.001116272],"genre_scores_gemma":[0.9680294,0.00006393314,0.03009604,0.00002300318,0.0007116603,0.0005223758,0.000003548024,0.00001356867,0.0005365212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116316,"threshold_uncertainty_score":0.9986407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3205336804495622,"score_gpt":0.5410379750255406,"score_spread":0.2205042945759785,"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."}}