{"id":"W2068057143","doi":"10.1145/1031607.1031675","title":"Communities and technologies","year":2004,"lang":"en","type":"article","venue":"","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social capital; Set (abstract data type); Knowledge management; Business; Public relations; Computer science; Sociology; Political science; 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":[0.00300491,0.0006695438,0.000714783,0.003036349,0.004416963,0.01289299,0.001380655,0.004641403,0.01936391],"category_scores_gemma":[0.008279566,0.0003855465,0.0004918543,0.003294764,0.01408053,0.01512749,0.007231103,0.0024781,0.003004444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003978253,"about_ca_system_score_gemma":0.003326934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003001026,"about_ca_topic_score_gemma":0.002221364,"domain_scores_codex":[0.9954076,0.002140184,0.0002430799,0.0008327778,0.0009988875,0.0003772989],"domain_scores_gemma":[0.9954681,0.002204087,0.0004822749,0.0007268425,0.0005239106,0.0005947222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004778798,0.000005795154,0.0001676908,0.0001120626,0.00000691065,0.00007027927,0.001134559,0.0002904174,0.00006738013,0.973352,0.00663867,0.01814953],"study_design_scores_gemma":[0.000005547552,0.00001022732,0.0002002039,0.0002354254,0.00000572418,0.0002316082,0.001128851,0.0005777185,0.00008750657,0.666021,0.3314861,0.0000100789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01164661,0.05132115,0.1057857,0.04886885,0.002595942,0.0003951868,0.0004709108,0.000546204,0.7783695],"genre_scores_gemma":[0.6537381,0.05397677,0.0803279,0.008770803,0.003441755,0.001031395,0.0008052399,0.000346031,0.1975619],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01936391,"threshold_uncertainty_score":0.06477875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580130299074754,"score_gpt":0.2868280543398595,"score_spread":0.2610267513491119,"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."}}