{"id":"W2759896704","doi":"10.15353/joci.v13i2.3312","title":"CommunitySensor: towards a participatory community network mapping methodology","year":2017,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Immunization Research Network","keywords":"Sensemaking; Citizen journalism; Stakeholder; Computer science; Work (physics); Knowledge management; Collaborative network; Community network; Data science; Process management; World Wide Web; Public relations; Political science; Business; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.02510001,0.001052264,0.0007487907,0.005496672,0.003643888,0.00730172,0.003885226,0.00226964,0.005630721],"category_scores_gemma":[0.02798157,0.001049611,0.001703804,0.005236156,0.005267557,0.01031754,0.01278833,0.002722722,0.001438339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752932,"about_ca_system_score_gemma":0.01003419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003709155,"about_ca_topic_score_gemma":0.007328566,"domain_scores_codex":[0.9765037,0.01544427,0.0009461893,0.002570266,0.003955246,0.0005803659],"domain_scores_gemma":[0.9790918,0.0112891,0.001528019,0.003622729,0.003321786,0.001146526],"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":[0.00007670405,0.0002113331,0.004498512,0.001102233,0.0001287048,0.0004889228,0.02532478,0.01790838,0.003383256,0.7382948,0.01122593,0.1973565],"study_design_scores_gemma":[0.00006620814,0.0001020979,0.00110342,0.0006682059,0.00005936632,0.0005290329,0.01311125,0.09116812,0.003943278,0.6919142,0.1972338,0.000100898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002374809,0.00006396401,0.9900537,0.0008633083,0.00004348077,0.0005828536,0.0002067796,0.0003827898,0.005428368],"genre_scores_gemma":[0.04377212,0.000109432,0.9513369,0.0001943675,0.00002066893,0.001535624,0.000423418,0.0001740798,0.002433371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02510001,"threshold_uncertainty_score":0.1327431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2220153196495667,"score_gpt":0.3636644930469857,"score_spread":0.141649173397419,"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."}}