{"id":"W2283417419","doi":"","title":"MOBILE COMPUTING EFFECT ON SOCIAL CAPITAL AMONG COWORKERS","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Social capital; Computer science; Business; Public relations; Knowledge management; Political science; Sociology; Social science","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":[0.001293318,0.00007499247,0.0001010525,0.00005908197,0.0006993164,0.00006810469,0.000159591,0.00006407373,0.00009188983],"category_scores_gemma":[0.00005944815,0.00007426718,0.00006793196,0.0001927595,0.0001311663,0.00007620437,0.00005185719,0.0001144525,0.0002216526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000807605,"about_ca_system_score_gemma":0.00001078881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003976985,"about_ca_topic_score_gemma":0.0008374508,"domain_scores_codex":[0.9990973,0.00007005038,0.0001039693,0.0001510182,0.000233994,0.0003436872],"domain_scores_gemma":[0.9996443,0.0001728115,0.00004352954,0.00006043796,0.00002020782,0.00005869888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005292844,0.0001038502,0.3638875,0.00003113109,0.00007819848,0.00005223929,0.1146691,0.0000279025,0.000074531,0.02673396,0.01504474,0.4792439],"study_design_scores_gemma":[0.001808775,0.0007027007,0.7895451,0.0001480049,0.00008980212,2.682541e-7,0.05345879,0.0003980754,0.001066289,0.001125242,0.1506169,0.001040071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.700861,0.00002865826,0.0001064308,0.00001863952,0.0003934776,0.0001632472,1.892149e-7,0.00008583818,0.2983425],"genre_scores_gemma":[0.9954026,0.000001747215,0.00002373839,0.0000449359,0.0008158891,0.000003173008,0.000001965013,0.000008422418,0.003697468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4782038,"threshold_uncertainty_score":0.5378647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159680894958843,"score_gpt":0.3182083592494341,"score_spread":0.3022402697535498,"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."}}