{"id":"W2053382519","doi":"10.1145/1738826.1738873","title":"Technological approaches to promoting physical activity","year":2009,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Research and Productivity Council","funders":"National Science Foundation","keywords":"Physical activity; Frame (networking); Value (mathematics); Physical health; Current (fluid); State (computer science); Engineering ethics; Management science; Computer science; Knowledge management; Public relations; Psychology; Sociology; Engineering; Political science; Medicine; Mental health; Telecommunications; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001708647,0.0001207596,0.0001333423,0.0001807396,0.000106592,0.00007275148,0.0007007886,0.00009931445,0.0000055256],"category_scores_gemma":[0.0001044285,0.00009517732,0.00003555129,0.0007870817,0.00007751861,0.0004741355,0.0002241506,0.0003394941,0.0001681437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006474787,"about_ca_system_score_gemma":0.00001187513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.569536e-7,"about_ca_topic_score_gemma":4.69037e-7,"domain_scores_codex":[0.999055,0.00002967237,0.00008427332,0.0004229515,0.0001494462,0.000258665],"domain_scores_gemma":[0.9994182,0.0000322579,0.00004799737,0.0004310754,0.00003986858,0.00003058706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002327902,0.0002499549,0.00002332582,8.238366e-7,0.000003081291,0.00000439373,0.0002386041,0.000002177099,0.03805285,0.6013735,0.0001082743,0.3599407],"study_design_scores_gemma":[0.0001399524,0.0006223937,0.008635545,0.00001218407,0.000002190713,0.00004654828,0.00004703923,0.07795513,0.8370579,0.07415951,0.001013637,0.0003079598],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5394262,4.737418e-7,0.438552,0.01364003,0.00003252353,0.0001449552,7.909274e-8,0.0009004903,0.007303194],"genre_scores_gemma":[0.9613371,4.767659e-8,0.03808584,0.0003381179,0.00003508001,0.00001961615,1.831541e-7,0.000002854748,0.0001811574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7990051,"threshold_uncertainty_score":0.3881218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338690883301872,"score_gpt":0.3015310584338082,"score_spread":0.167661970103621,"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."}}