{"id":"W7020397989","doi":"","title":"Les besoins non comblées de services à domicile chez les aînés canadiens","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Context (archaeology); Documentation; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009634928,0.000654235,0.0003964333,0.002201737,0.003982232,0.00278317,0.0007757339,0.002046845,0.03717196],"category_scores_gemma":[0.007834726,0.0005668968,0.0006560829,0.002915141,0.001127803,0.001196968,0.001419328,0.001987074,0.005740065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006705168,"about_ca_system_score_gemma":0.009822418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4616604,"about_ca_topic_score_gemma":0.5473089,"domain_scores_codex":[0.9977277,0.0003432265,0.0001650707,0.0002438871,0.0006166187,0.0009035285],"domain_scores_gemma":[0.9951994,0.001296329,0.0007636568,0.0001567257,0.0008909103,0.001692974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002822161,0.001048904,0.6933886,0.000572467,0.0001165533,0.01292088,0.04480792,0.0005017716,0.006616643,0.008175034,0.04175679,0.1872723],"study_design_scores_gemma":[0.00007378958,0.0004968062,0.7608228,0.0004628153,0.00008236989,0.003803495,0.05186389,0.0007084979,0.00249938,0.0005452852,0.1785486,0.00009229971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609711,0.002528001,0.0003521192,0.002082172,0.0002833902,0.00007515233,0.002656837,0.00006864207,0.03098258],"genre_scores_gemma":[0.7947448,0.004312716,0.0007749309,0.0009545567,0.0001718216,0.0001544397,0.001941201,0.0001328999,0.1968126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5383396,"threshold_uncertainty_score":0.9179465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004126920356323162,"score_gpt":0.149447870524013,"score_spread":0.1453209501676898,"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."}}