{"id":"W3170772624","doi":"","title":"Research Guides: Government Documents and Information Canada: Resources, Tools and Calculators","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Computer science; World Wide Web; Business; Information retrieval; Data science; Political science","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001463382,0.000215654,0.0002831121,0.0002070534,0.0002620499,0.003029993,0.001245964,0.0001553944,0.00005343243],"category_scores_gemma":[0.0001141462,0.000165588,0.00002526988,0.0003940288,0.0001018895,0.02187118,0.001258848,0.0003011297,0.00007831262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281943,"about_ca_system_score_gemma":0.001060765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1374742,"about_ca_topic_score_gemma":0.008010245,"domain_scores_codex":[0.995817,0.0001080294,0.0007031144,0.0003354722,0.002597043,0.0004393306],"domain_scores_gemma":[0.9984324,0.0002235407,0.0002695352,0.0006753856,0.0001758132,0.0002233527],"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":[0.00000179357,0.000001979314,0.0004917597,0.0001489658,0.00001465744,0.00000136359,0.002464881,0.000007521945,2.962058e-7,0.01307009,0.9651596,0.01863708],"study_design_scores_gemma":[0.0001589871,0.00005038599,0.001486512,0.000106952,0.000001006945,0.00001160311,0.001897176,0.002709789,0.00002567672,0.00005964722,0.9932762,0.0002160682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009131295,0.001068218,0.003119905,0.009897287,0.00468288,0.002033677,0.0004187447,0.0001809243,0.969467],"genre_scores_gemma":[0.165326,0.005050005,0.01236833,0.07296214,0.002114141,0.0003324554,0.000943593,0.0001000389,0.7408034],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2286637,"threshold_uncertainty_score":0.998005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546916836702251,"score_gpt":0.2579631847032515,"score_spread":0.232494016336229,"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."}}