{"id":"W7128757320","doi":"","title":"College documentation bulletin number 18","year":2017,"lang":"en","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec Rehabilitation Research Network","funders":"","keywords":"Documentation; Inclusion (mineral); Information system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002024125,0.001291558,0.001943662,0.007296856,0.004876526,0.008578535,0.001920825,0.001969984,0.8835887],"category_scores_gemma":[0.01543898,0.0007721003,0.000733127,0.01664982,0.001173161,0.002482378,0.001846208,0.002103373,0.8561422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01340309,"about_ca_system_score_gemma":0.03004505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5873972,"about_ca_topic_score_gemma":0.6081613,"domain_scores_codex":[0.9972812,0.0001573047,0.000183435,0.0002635481,0.001571972,0.0005424489],"domain_scores_gemma":[0.9813137,0.000895362,0.0003459663,0.001317132,0.01456277,0.00156507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006921725,0.00001022785,0.0001112396,0.00007184827,9.308423e-7,0.000008028469,0.00002854007,0.00001249492,0.00003099074,0.0004485364,0.990649,0.008621098],"study_design_scores_gemma":[0.00001350831,0.000006074793,0.00200236,0.0001782057,0.000002223059,0.000008382909,0.0000956916,0.00002012129,0.00004488244,0.0001294599,0.9974905,0.000008532837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003788512,0.0005095091,0.0003238692,0.002470675,0.001924504,0.0005769146,0.1456667,0.002718824,0.8454301],"genre_scores_gemma":[0.001090083,0.0003844594,0.0001731591,0.0003327212,0.0001406576,0.0001703728,0.01860206,0.0007434405,0.978363],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8835887,"threshold_uncertainty_score":0.8300654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170895585080685,"score_gpt":0.2561478201129972,"score_spread":0.2444388642621904,"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."}}