{"id":"W7042666634","doi":"","title":"Précision spatiale d'atteintes manuelles vers des cibles virtuelles : effet du contexte visuel et du vieillissement normal","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Older people; Context (archaeology); Population; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009866194,0.0007601645,0.0007992167,0.0001300387,0.0005825534,0.000160861,0.0006771508,0.0001444737,0.01075536],"category_scores_gemma":[0.00002784322,0.00072886,0.0001428996,0.0001517532,0.0008385983,0.0009702193,0.0005388434,0.0002954306,4.564463e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004495524,"about_ca_system_score_gemma":0.001342047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01816334,"about_ca_topic_score_gemma":0.1012795,"domain_scores_codex":[0.9945731,0.0004974356,0.0008133846,0.0007061131,0.002561837,0.0008481774],"domain_scores_gemma":[0.9968837,0.001170805,0.0007927467,0.000490184,0.000004277191,0.0006582995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00317229,0.0008896483,0.2031326,0.004556847,0.001163676,0.0004486978,0.002048095,0.001387101,0.5147515,0.183363,0.04682064,0.03826597],"study_design_scores_gemma":[0.00102225,0.0003530259,0.08142681,0.001577281,0.0001778999,0.00003191228,0.004565186,0.0005726562,0.09953354,0.0005370977,0.8091524,0.001049936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3279939,0.005226809,0.002000727,0.005772526,0.003773496,0.001170845,0.002428181,0.0000662892,0.6515672],"genre_scores_gemma":[0.8831704,0.003338158,0.003871712,0.001508061,0.0004852348,0.00005140721,0.00006264281,0.0002032701,0.1073091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7623317,"threshold_uncertainty_score":0.9995162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003667601586139886,"score_gpt":0.1625446810854033,"score_spread":0.1588770794992635,"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."}}