{"id":"W32423419","doi":"10.1186/s13059-020-02036-w","title":"Mobilizing User-Generated Content For Canada’s Digital Advantage","year":2010,"lang":"en","type":"article","venue":"Genome biology","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences","keywords":"User-generated content; Computer science; Digital content; Content (measure theory); Business; World Wide Web; Social media; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001290761,0.0001107154,0.0001443176,0.00005973995,0.0001387783,0.00009657109,0.0006894873,0.00007707955,0.00001803838],"category_scores_gemma":[0.000153021,0.0001003622,0.00003240056,0.0001968397,0.00005365245,0.0001891469,0.0001914382,0.0001270753,0.00001734718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005683751,"about_ca_system_score_gemma":0.0004908956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009985018,"about_ca_topic_score_gemma":0.0825294,"domain_scores_codex":[0.9990467,0.00001319482,0.0002246737,0.0003309862,0.00005634456,0.000328115],"domain_scores_gemma":[0.9990933,0.0001161649,0.00007978999,0.0004286295,0.0002089433,0.00007320062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001138164,0.00006799152,0.0231846,0.000009958888,0.00006485669,0.0000109507,0.0002435707,0.00003630127,0.7461754,0.2038001,0.001758166,0.02463665],"study_design_scores_gemma":[0.0004875217,0.0001386021,0.008787341,0.000001699436,0.000003618107,0.00003127337,0.00007467675,0.0006901164,0.005177452,0.001124266,0.9831538,0.0003296515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6556582,0.00004577839,0.3394785,0.00165815,0.001691076,0.0004470174,0.000210635,0.00015408,0.0006565758],"genre_scores_gemma":[0.9740589,7.218253e-7,0.02420972,0.0007288876,0.0001309394,0.00005344352,0.0001141767,0.00001034308,0.0006928942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9813956,"threshold_uncertainty_score":0.9966076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444464385932044,"score_gpt":0.2520199346235799,"score_spread":0.2275752907642594,"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."}}