{"id":"W7071829078","doi":"","title":"Time's Up! Mandatory Retirement in Canada (review)","year":2007,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Glass properties and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics); Receipt","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":[0.0003225844,0.0001348487,0.0001818298,0.001176761,0.0001027013,0.00001070275,0.0003814871,0.00003558875,0.0006774103],"category_scores_gemma":[0.0000192823,0.0001318002,0.00003780449,0.002269156,0.00005042725,0.0001498044,0.0001489505,0.0001057886,0.0001343383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009874438,"about_ca_system_score_gemma":0.001191544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9563777,"about_ca_topic_score_gemma":0.9685206,"domain_scores_codex":[0.9988379,0.00005248455,0.000196242,0.0003084985,0.000238753,0.000366124],"domain_scores_gemma":[0.9994023,0.0000348687,0.00008501751,0.0003291699,0.00006617417,0.00008243601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002209368,0.003060724,0.01696931,0.00664441,0.0003273082,0.005470277,0.01626356,0.0004751076,0.08974252,0.01751832,0.3246003,0.5167188],"study_design_scores_gemma":[0.0003058458,0.00002105957,0.0004370176,0.0001402409,0.00001722852,0.000002636898,0.0002978785,0.00003849494,0.006348753,1.687743e-7,0.9922168,0.000173908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5780103,0.0000528575,0.0001173044,0.0005756834,0.0002905295,0.0009929442,0.00004967987,0.00009965397,0.4198111],"genre_scores_gemma":[0.8339232,0.1632752,0.0006901029,0.001385992,0.00007754289,0.000009755308,0.00003160718,0.00003391907,0.0005726781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6676165,"threshold_uncertainty_score":0.7417167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676577197552998,"score_gpt":0.2153167797692484,"score_spread":0.1985510077937184,"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."}}