{"id":"W2990357184","doi":"10.1186/s12942-019-0191-y","title":"Behavioral mapping of children’s physical activities and social behaviors in an indoor preschool facility: methodological challenges in revealing the influence of space in play","year":2019,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Centre for Child, Family and Community Research; Public Health Agency; Public Health Agency of Canada","keywords":"Geospatial analysis; Categorical variable; Computer science; Health geography; Geographic information system; Space (punctuation); Data science; Geography; Cartography; Machine learning; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005071453,0.0005618511,0.0004259467,0.002356672,0.001045979,0.001775889,0.001511754,0.0004622787,0.002594864],"category_scores_gemma":[0.01681793,0.0003874395,0.0005000326,0.002993242,0.001147603,0.001216204,0.001799773,0.0006195829,0.0004097453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007819042,"about_ca_system_score_gemma":0.001302574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01324115,"about_ca_topic_score_gemma":0.0217201,"domain_scores_codex":[0.9928395,0.00483511,0.000478003,0.0006799399,0.001003817,0.0001636845],"domain_scores_gemma":[0.9858175,0.008168676,0.001715618,0.002020261,0.001993215,0.0002846366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006287431,0.0004821798,0.4978023,0.004503364,0.0003507729,0.0008948228,0.04388998,0.00650872,0.02363195,0.006601711,0.003000842,0.4117047],"study_design_scores_gemma":[0.00005239381,0.001085929,0.8258119,0.002007386,0.0002937153,0.001150879,0.08576211,0.01623863,0.0241472,0.01004193,0.03322548,0.0001823859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560718,0.001267702,0.3246461,0.0006207713,0.0001112441,0.001686079,0.003337807,0.0004988066,0.0117596],"genre_scores_gemma":[0.7032781,0.0006193106,0.2905058,0.0000966161,0.00002771587,0.003631292,0.000661801,0.0001050857,0.001074256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324115,"threshold_uncertainty_score":0.02682072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049110972460722,"score_gpt":0.3701072655787406,"score_spread":0.2796161558541334,"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."}}