{"id":"W7096437712","doi":"","title":"Information Analyses (070) Numerical/Quantitative Data","year":2016,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Literacy; Information literacy; Limiting; Adult literacy; Survey data collection","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":[0.009601038,0.000841768,0.0008636313,0.007601983,0.001577558,0.002117353,0.001394831,0.0006887817,0.08280715],"category_scores_gemma":[0.05847261,0.0005687783,0.001071911,0.01592213,0.0008178572,0.00112183,0.001744249,0.0009144638,0.01696231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007026532,"about_ca_system_score_gemma":0.01835333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1721748,"about_ca_topic_score_gemma":0.1552741,"domain_scores_codex":[0.981294,0.004051105,0.002679192,0.001763248,0.008695826,0.001516588],"domain_scores_gemma":[0.9509,0.01408299,0.003934548,0.00488183,0.02532919,0.0008713868],"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":[0.001311136,0.00100512,0.2382151,0.004673075,0.0003242236,0.0004758598,0.008009413,0.002048541,0.001999303,0.02374348,0.4107291,0.3074656],"study_design_scores_gemma":[0.0002888331,0.0006499764,0.4119685,0.001459814,0.0001750719,0.0001641359,0.008585698,0.003174334,0.00263533,0.00477995,0.565984,0.0001342217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.08432281,0.0002525202,0.01427128,0.0006294447,0.0002093983,0.01984127,0.7750252,0.0007843968,0.1046637],"genre_scores_gemma":[0.2238691,0.0005559574,0.06727792,0.0008676673,0.0001687708,0.0874022,0.5495316,0.0006128459,0.06971401],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9171928,"threshold_uncertainty_score":0.3423452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675147405431797,"score_gpt":0.4398111440561152,"score_spread":0.2722964035129355,"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."}}