{"id":"W4206160008","doi":"10.1017/s0714980809990109","title":"CJG volume 28 issue 2 Cover and Front matter","year":2009,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Aging; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Action (physics); Content (measure theory); Environmental science; Computer science; Geography; Engineering; Meteorology; Mathematics; Physics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001020139,0.0008991139,0.0006163839,0.001931547,0.001412656,0.004147628,0.0009267932,0.003446192,0.7746878],"category_scores_gemma":[0.003776534,0.0002394342,0.0005106705,0.00131849,0.0008030797,0.001510592,0.001450618,0.001985125,0.5945324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775678,"about_ca_system_score_gemma":0.00260521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003901446,"about_ca_topic_score_gemma":0.009666358,"domain_scores_codex":[0.9989704,0.00009587764,0.00004107663,0.000148488,0.0005711157,0.0001730559],"domain_scores_gemma":[0.9973648,0.0003018794,0.0000892868,0.0001787809,0.0009426874,0.001122534],"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":[0.00004579294,0.00003937965,0.0002460925,0.0001125492,0.000003627686,0.0001370602,0.00002393634,0.0000253682,0.0004445075,0.001291126,0.9220739,0.07555655],"study_design_scores_gemma":[0.000009488175,0.00001530972,0.0007900334,0.00008874938,0.000001880136,0.0001849246,0.00003851917,0.0000398082,0.0001414656,0.0003591214,0.9983266,0.000004176272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001889905,0.007794032,0.0005074005,0.01877142,0.04424643,0.0001201622,0.00111287,0.0007166646,0.9248413],"genre_scores_gemma":[0.003171162,0.001963568,0.0002261358,0.002189304,0.004272526,0.00001847259,0.0004105469,0.0001721715,0.9875762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2253122,"threshold_uncertainty_score":0.3213804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208561856728919,"score_gpt":0.1780034769318124,"score_spread":0.1659178583645232,"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."}}