{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000592265,0.0001973248,0.0002942995,0.0006848293,0.001126649,0.002170875,0.0003029104,0.0008520177,0.01487104],"category_scores_gemma":[0.01101178,0.0001433163,0.0002684158,0.0007676493,0.0005479481,0.001061307,0.001069443,0.0007736536,0.0007368897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005261016,"about_ca_system_score_gemma":0.000713962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005930696,"about_ca_topic_score_gemma":0.005128612,"domain_scores_codex":[0.9995571,0.0001684877,0.00001727088,0.00005022197,0.0000561786,0.0001508057],"domain_scores_gemma":[0.9668256,0.02587007,0.001914394,0.001020549,0.0008517908,0.003517526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01598844,0.005364204,0.8208583,0.0002619479,0.00030344,0.001385971,0.01585289,0.00383883,0.01818037,0.01543583,0.003015575,0.09951416],"study_design_scores_gemma":[0.0002106007,0.001188108,0.977275,0.00005729683,0.00028478,0.0001955354,0.008553217,0.003808782,0.00225547,0.003979421,0.002158998,0.0000328334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993504,0.00009532308,0.00008561353,0.0003195825,0.00001404513,0.000005219162,0.00006658019,0.000007434456,0.00590224],"genre_scores_gemma":[0.9990516,0.00003082251,0.00003115816,0.00001765797,0.00001093108,0.000002491734,0.00001242202,0.000002137626,0.0008407295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487104,"threshold_uncertainty_score":0.04974854,"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."}}