{"id":"W7014170826","doi":"","title":"Opening doors : sharpening your competitive edge : employer's guide to training, apprenticeship, and employment programs in Ontario","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Doors; Sharpening; Enhanced Data Rates for GSM Evolution; Competitive advantage; Government (linguistics)","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":[0.0004923621,0.000558653,0.0002398156,0.001134193,0.007673379,0.00266695,0.001143981,0.001990369,0.1345143],"category_scores_gemma":[0.0008915323,0.0007589564,0.0003270148,0.002404438,0.000958564,0.001445438,0.001286924,0.001251249,0.02961351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01857167,"about_ca_system_score_gemma":0.06745197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9724873,"about_ca_topic_score_gemma":0.9964259,"domain_scores_codex":[0.9992002,0.00003401163,0.00002712088,0.00003493934,0.000404952,0.0002987262],"domain_scores_gemma":[0.9990018,0.00004945228,0.00004273551,0.00002034653,0.0003783195,0.000507272],"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":[0.000007495663,0.00004443654,0.001164736,0.00007658654,9.444223e-7,0.00009174919,0.0009564672,0.00005670332,0.0001954263,0.0008605877,0.9432191,0.0533258],"study_design_scores_gemma":[0.000009184765,0.00001236775,0.01347433,0.00008244874,0.000003482993,0.00003923415,0.001336199,0.00003879367,0.00004829935,0.0001434403,0.9847996,0.00001248805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01187386,0.01294785,0.001847136,0.05264078,0.001451295,0.0008141043,0.009368027,0.001777211,0.9072798],"genre_scores_gemma":[0.007803414,0.005098729,0.001078718,0.002708697,0.00008408741,0.0001062265,0.0008678294,0.0001528003,0.9820995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1345143,"threshold_uncertainty_score":0.4499953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516347348102738,"score_gpt":0.232315544253285,"score_spread":0.2071520707722576,"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."}}