{"id":"W2041236678","doi":"10.1186/1479-5868-5-64","title":"Will web-based research suffice when collecting U.S. school district policies? The case of physical education and school-based nutrition policies","year":2008,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Community Based Research Centre; University of British Columbia","funders":"National Cancer Institute; University of Illinois at Urbana-Champaign; University of Illinois at Chicago; U.S. Department of Health and Human Services","keywords":"Data collection; Overweight; School district; Diversity (politics); Sample (material); Population; Physical education; Public policy; Geography; Political science; Economic growth; Psychology; Obesity; Environmental health; Sociology; Mathematics education; Medicine; Social science; Economics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2160293,0.000549885,0.001252452,0.006794255,0.005951332,0.01295473,0.002953537,0.004095006,0.004263772],"category_scores_gemma":[0.3377476,0.001443825,0.001249347,0.018447,0.005397855,0.01664837,0.004799575,0.003830049,0.001282088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009471905,"about_ca_system_score_gemma":0.03571664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05031995,"about_ca_topic_score_gemma":0.06356267,"domain_scores_codex":[0.7612118,0.206771,0.01016641,0.004644398,0.01197224,0.005234132],"domain_scores_gemma":[0.3639567,0.4950437,0.03602435,0.04703436,0.05130271,0.00663818],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005885611,0.002301883,0.5601774,0.003760487,0.0006249578,0.0007898952,0.0643497,0.004223598,0.0008630111,0.03041951,0.02047892,0.3114221],"study_design_scores_gemma":[0.0006444351,0.002315095,0.5156978,0.009768588,0.0006672183,0.000768294,0.3028592,0.01024442,0.004040677,0.0366783,0.1159716,0.0003443811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.760617,0.007706867,0.03817701,0.1089005,0.0009820652,0.006651551,0.005296666,0.000331351,0.07133681],"genre_scores_gemma":[0.8570523,0.003656369,0.1177032,0.0101663,0.0002849676,0.007534371,0.001769764,0.00009037439,0.001742402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7839707,"threshold_uncertainty_score":0.9667755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780847577701493,"score_gpt":0.4063558853370773,"score_spread":0.3285474095600623,"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."}}