{"id":"W7067546636","doi":"","title":"Mobilizing User-Generated Content for Canada’s Digital Content Advantage","year":2011,"lang":"en","type":"other","venue":"Scholarship@Western (Western University)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Content (measure theory); Digital content; Scale (ratio); User-generated content; Mobile device; Content creation; Content analysis","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007449794,0.0003552377,0.0001602123,0.002135767,0.009434748,0.009116815,0.0009011148,0.00100423,0.07192636],"category_scores_gemma":[0.003164622,0.000193593,0.0003868247,0.002259455,0.001696069,0.002271439,0.004283908,0.001026018,0.006426912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02507153,"about_ca_system_score_gemma":0.07843126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9309739,"about_ca_topic_score_gemma":0.9783307,"domain_scores_codex":[0.9991424,0.00005584522,0.0000115889,0.0000627406,0.0004127104,0.0003147653],"domain_scores_gemma":[0.9975328,0.0002416216,0.00005047147,0.0001598611,0.0009609893,0.001054318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002211262,0.0002389765,0.01343684,0.0002341664,0.00003317148,0.0007374992,0.01493022,0.0005269023,0.003523356,0.1409697,0.5155414,0.3096065],"study_design_scores_gemma":[0.00004590845,0.00003147244,0.01012607,0.0001103639,0.00002451544,0.00009131866,0.009998661,0.0009738113,0.00145027,0.004598713,0.9725162,0.00003273497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05704476,0.0005656052,0.003431621,0.01743368,0.0003879635,0.0003070026,0.002578262,0.0009342922,0.9173167],"genre_scores_gemma":[0.4991002,0.001138639,0.01315742,0.002835494,0.0001465537,0.0002144267,0.002287236,0.000759805,0.4803602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07192636,"threshold_uncertainty_score":0.2406176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230484559636127,"score_gpt":0.2747809519728424,"score_spread":0.1517324960092296,"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."}}