{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000801846,0.0004799716,0.0004404847,0.003299073,0.002053356,0.005861194,0.001578013,0.000875085,0.3048613],"category_scores_gemma":[0.006687806,0.0002867103,0.0005624346,0.004471924,0.0008757255,0.002160099,0.003741128,0.0008116853,0.0526424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005883846,"about_ca_system_score_gemma":0.01065421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1927804,"about_ca_topic_score_gemma":0.3284507,"domain_scores_codex":[0.9991952,0.00004479864,0.00002635142,0.00008737235,0.0005142677,0.000132092],"domain_scores_gemma":[0.9958894,0.0005649349,0.0001046052,0.0009649369,0.001834595,0.0006416764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004922337,0.0001713901,0.003780959,0.0004072711,0.00008374647,0.000763991,0.002004555,0.001014475,0.01827385,0.05141302,0.3710428,0.5505517],"study_design_scores_gemma":[0.00007788729,0.00004227532,0.003344255,0.0001510062,0.00005468486,0.0002395366,0.0007408157,0.002880068,0.01243111,0.004839879,0.9751143,0.00008424547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02389021,0.0006152611,0.01975288,0.005158997,0.0008542088,0.000443443,0.01004501,0.01164892,0.927591],"genre_scores_gemma":[0.2059431,0.001767328,0.04777696,0.001420564,0.0003845557,0.0004787575,0.00967133,0.006573319,0.7259842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8072196,"threshold_uncertainty_score":0.991531,"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."}}