{"id":"W4247986157","doi":"10.1037/e506782013-001","title":"Second Canadian Conference on Literacy and Health, October 17-19, 2004, Ottawa, Ontario: Final Report","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Literacy; Geography; Political science; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.002380198,0.002852149,0.002669191,0.008747712,0.002977764,0.006171972,0.003976598,0.001955939,0.09204491],"category_scores_gemma":[0.01213183,0.001233847,0.001850683,0.01900754,0.0009708275,0.00195349,0.002810197,0.002714958,0.07194173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02351386,"about_ca_system_score_gemma":0.05077597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9260166,"about_ca_topic_score_gemma":0.9655564,"domain_scores_codex":[0.9979928,0.0001880528,0.0001956494,0.0003231545,0.0007817746,0.0005185458],"domain_scores_gemma":[0.9879447,0.001167244,0.0004440289,0.001583022,0.007311505,0.001549499],"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":[0.00001623967,0.00000402931,0.0004662593,0.0001304341,0.000008016625,0.000003849337,0.0000110512,0.00005691596,0.000009129997,0.0001362991,0.997744,0.001413786],"study_design_scores_gemma":[0.0001097489,0.000008457059,0.01697396,0.0004323792,0.00005353361,0.00001770767,0.0002232713,0.0003094327,0.0001745729,0.0007281725,0.9809245,0.00004438042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005450958,0.0001034682,0.00003648275,0.0001996208,0.00005828432,0.00001176955,0.9983457,0.0001832253,0.001006862],"genre_scores_gemma":[0.0003847527,0.0001630634,0.0001989065,0.00004902769,0.00001266076,0.0000658519,0.9952934,0.00005225744,0.003780116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09204491,"threshold_uncertainty_score":0.3079209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08260585718025555,"score_gpt":0.3266600089308782,"score_spread":0.2440541517506227,"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."}}