{"id":"W2917796024","doi":"10.7202/1055515ar","title":"PRECIS I: Preserved Context Indexing System","year":2019,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Context (archaeology); Index (typography); Political science; Art; History; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001139334,0.001393787,0.000971453,0.004524522,0.002026048,0.004706634,0.002320757,0.000921086,0.06904283],"category_scores_gemma":[0.005654608,0.0006887341,0.0006159915,0.003655427,0.0007703445,0.005388898,0.003647836,0.001247895,0.03921762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528067,"about_ca_system_score_gemma":0.002821439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494971,"about_ca_topic_score_gemma":0.0192448,"domain_scores_codex":[0.9989042,0.0001070123,0.0001127024,0.0002652494,0.0004980155,0.0001128675],"domain_scores_gemma":[0.9982571,0.0003032852,0.00008862768,0.0007451443,0.0004792597,0.000126533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007892278,0.0001202518,0.001884796,0.0009850898,0.00006038497,0.0003878556,0.0006855816,0.00104947,0.009596006,0.02619309,0.5117949,0.4464533],"study_design_scores_gemma":[0.0001951948,0.0001861079,0.002619961,0.0002261731,0.00009059747,0.0005541943,0.0004248212,0.01330182,0.03079591,0.0180864,0.9334136,0.0001052735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.02465193,0.00665163,0.2217453,0.003862593,0.002860541,0.001896668,0.118659,0.3944654,0.2252071],"genre_scores_gemma":[0.185504,0.00451688,0.3491602,0.002587878,0.002094964,0.00134899,0.2337388,0.02076872,0.2002796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9952934,"threshold_uncertainty_score":0.2309713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004840483861963,"score_gpt":0.3276828234229296,"score_spread":0.29763441858431,"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."}}