{"id":"W7005613169","doi":"","title":"Relocating the Vernacular: The Yves Beauregard Collection at the MusÃ©e national des beaux-arts du QuÃ©bec","year":2008,"lang":"en","type":"article","venue":"Archivaria","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; National museum","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004783003,0.000124576,0.0001160269,0.00003826644,0.001747315,0.00003014237,0.0002129461,0.00003955842,0.00004935367],"category_scores_gemma":[0.002282434,0.00005813803,0.00009688907,0.0002661113,0.0004543403,0.00004997115,0.0001616794,0.0002873736,0.0000663079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009646093,"about_ca_system_score_gemma":0.0001575325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108403,"about_ca_topic_score_gemma":0.000233155,"domain_scores_codex":[0.9987924,0.0001378525,0.0001850956,0.0001815286,0.0004818557,0.000221322],"domain_scores_gemma":[0.9977118,0.001730399,0.00007974854,0.0003128504,0.00009901541,0.00006619695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001347792,0.0005816022,0.1975476,0.00009550901,0.000960974,0.0002471941,0.03611894,0.003731926,0.005739209,0.2621943,0.4665554,0.02487951],"study_design_scores_gemma":[0.001166848,0.0001909745,0.9175401,0.0001248551,0.0001425438,0.001215817,0.0003274062,0.004768686,0.001507084,0.01277263,0.06006838,0.0001746122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8180174,0.001589046,0.003747921,0.02640378,0.000495111,0.0008392484,0.00002959045,0.0001723127,0.1487056],"genre_scores_gemma":[0.9940491,0.0001596302,0.0009003688,0.002215523,0.0004932921,0.00005118427,0.00004206153,0.00001799145,0.002070798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7199925,"threshold_uncertainty_score":0.9995522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0349724148038727,"score_gpt":0.2625889272925764,"score_spread":0.2276165124887037,"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."}}