{"id":"W6979791512","doi":"","title":"Aides techniques et aménagements du logement : usages et besoins des personnes âgées vivant à domicile","year":2003,"lang":"fr","type":"article","venue":"Gallica (Bibliothèque nationale de France)","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; Work (physics); Quarter (Canadian coin)","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":[0.0005998496,0.0003663668,0.0003503452,0.001108875,0.0007700407,0.0007675114,0.0004491367,0.0007855693,0.004589884],"category_scores_gemma":[0.005809914,0.0001671864,0.0004570213,0.001255404,0.0003349903,0.0007748241,0.0007158199,0.0005757479,0.0009340246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228372,"about_ca_system_score_gemma":0.001071093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289185,"about_ca_topic_score_gemma":0.02940213,"domain_scores_codex":[0.9991542,0.0003166777,0.00008391972,0.00009895366,0.0002002332,0.0001459637],"domain_scores_gemma":[0.9978739,0.0007467357,0.0006001563,0.00009236227,0.0003658392,0.0003210283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005120303,0.0005291202,0.7957283,0.0006885386,0.00009245585,0.0006097718,0.008114844,0.0002400577,0.002326366,0.0002480143,0.001716987,0.1891935],"study_design_scores_gemma":[0.00002063135,0.001186904,0.9616149,0.0004064329,0.0001582543,0.002099271,0.009941064,0.0003778654,0.001280831,0.0002379509,0.02263318,0.00004268674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861471,0.005687958,0.0006001983,0.0009621042,0.00005295981,0.00003643778,0.001207108,0.00005179381,0.005254357],"genre_scores_gemma":[0.9873908,0.004511079,0.001925327,0.0001643823,0.00004455563,0.00004725806,0.0003946879,0.00001136944,0.005510522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289185,"threshold_uncertainty_score":0.04551721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05148308573770546,"score_gpt":0.3388694167745319,"score_spread":0.2873863310368265,"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."}}