{"id":"W2094472262","doi":"10.4018/jmhci.2009062601","title":"How It Started","year":2009,"lang":"en","type":"article","venue":"International Journal of Mobile Human Computer Interaction","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thriving; The Internet; Computer science; Mobile device; Quarter (Canadian coin); Great recession; Internet access; Telecommunications; Internet privacy; World Wide Web; Geography; Economics; Psychology; Keynesian economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003104743,0.000604814,0.0004480114,0.001077066,0.005996208,0.01537297,0.001171976,0.004299241,0.07542582],"category_scores_gemma":[0.008865991,0.0003023311,0.0004639328,0.001436251,0.006083184,0.01269094,0.006108747,0.009237336,0.02578202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006011169,"about_ca_system_score_gemma":0.009069682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01701996,"about_ca_topic_score_gemma":0.01961275,"domain_scores_codex":[0.996914,0.0008862851,0.0001118258,0.0006729704,0.0006036082,0.0008112643],"domain_scores_gemma":[0.9970071,0.0003856297,0.0001195763,0.0003024814,0.001153756,0.001031528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006828219,0.0000530263,0.002247777,0.0002667949,0.00002085488,0.0006461509,0.01363469,0.0000882401,0.0003584339,0.313069,0.560125,0.1094218],"study_design_scores_gemma":[0.000002634831,0.000006475133,0.0003617563,0.000156345,0.000002661835,0.00008758694,0.002821052,0.00001448335,0.00006675164,0.01007554,0.9863966,0.000008213196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01487279,0.01378171,0.006452638,0.3038651,0.04381328,0.0001285438,0.001532814,0.0007714372,0.6147816],"genre_scores_gemma":[0.1454607,0.01376208,0.004451656,0.1544569,0.005634858,0.0002456951,0.001377089,0.001660706,0.6729504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07542582,"threshold_uncertainty_score":0.2523245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503309689976501,"score_gpt":0.3203474501757992,"score_spread":0.2853143532760342,"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."}}