{"id":"W2728831094","doi":"10.25071/1708-6701.39676","title":"Section québécoise de l'ACBM / Quebec Chapter of CAML: 2014 Annual Meeting Report","year":2014,"lang":"fr","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Documentation; Library science; History; Visual arts; Computer science; Art; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009827727,0.0003392218,0.0006526368,0.0001096754,0.0002449396,0.0001262304,0.000269881,0.00005789613,0.0005884561],"category_scores_gemma":[0.0002600916,0.0003325575,0.0004459839,0.00006366567,0.0003641671,0.0004859368,0.0001176908,0.0002710333,0.0002473539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395655,"about_ca_system_score_gemma":0.00009205277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275534,"about_ca_topic_score_gemma":0.008568212,"domain_scores_codex":[0.997677,0.0001752017,0.0009461535,0.0004589404,0.0002586153,0.0004841082],"domain_scores_gemma":[0.9982896,0.0001637505,0.0006446504,0.0004701807,0.0002232857,0.000208559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001489941,0.0001902637,0.0001673279,0.01265026,0.0001278319,0.0001551539,0.001563069,0.0000288195,0.00002278557,0.8740944,0.03788558,0.07309965],"study_design_scores_gemma":[0.0001523035,0.0001526476,0.002337438,0.009766551,0.0003261833,0.0003565304,0.0001161407,0.0001099189,0.00002688655,0.009092345,0.9772118,0.000351227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0126776,0.05803197,0.0006973476,0.0124511,0.002056402,0.0008160596,0.0003708756,0.00009675285,0.9128019],"genre_scores_gemma":[0.4678383,0.09846833,0.001074162,0.008609661,0.0107362,0.0002652728,0.0006248085,0.0001950223,0.4121883],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9393262,"threshold_uncertainty_score":0.9999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141794436960062,"score_gpt":0.2193119496361365,"score_spread":0.2051325059401303,"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."}}