{"id":"W7098633588","doi":"","title":"Preparing for Life in a Digital Age: Results for Ontario and Newfoundland and Labrador","year":2015,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Literacy; Council of Ministers; Quality (philosophy); Information literacy; Higher education","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":[],"consensus_categories":[],"category_scores_codex":[0.0001153445,0.0000712908,0.0001163373,0.00000250238,0.00004717324,0.0001164916,0.00004583846,0.00005893004,0.000003143424],"category_scores_gemma":[0.0003259177,0.00002358918,0.00001787225,0.00003320958,0.00004376255,0.0001332163,0.00004582254,0.00003418829,2.09513e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001987767,"about_ca_system_score_gemma":0.000009938846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003542146,"about_ca_topic_score_gemma":0.1301167,"domain_scores_codex":[0.9995198,0.000003606024,0.0001069997,0.0001953447,0.00003489626,0.0001393432],"domain_scores_gemma":[0.9995756,0.0002574328,0.00002608454,0.00001586945,0.00002342278,0.0001016394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009144542,0.0006960875,0.4170463,0.0001092517,0.00006751436,0.000009217622,0.002112433,0.000005221026,0.08344137,0.001842121,0.01031144,0.4752145],"study_design_scores_gemma":[0.004518829,0.002969335,0.486037,0.00004605957,0.00001529682,0.00002074751,0.001790827,0.0001960874,0.002667836,0.04076238,0.4602939,0.0006817668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992705,0.00004283484,0.00000334348,0.0005128838,0.00001581086,0.0002432937,0.00006871523,0.0000188487,0.006389198],"genre_scores_gemma":[0.9974748,0.000005127322,0.0001557398,0.0001051584,0.00008896444,0.0000371765,0.00006334826,2.357383e-7,0.002069376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4745328,"threshold_uncertainty_score":0.8857564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896658848949102,"score_gpt":0.2384625166858617,"score_spread":0.1894959281963707,"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."}}