{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.00221839,0.0002936446,0.0004382961,0.001900058,0.0004761039,0.003277899,0.0003828443,0.000238487,0.007225224],"category_scores_gemma":[0.00009590968,0.0003091523,0.0001927292,0.004972875,0.0002811872,0.01774882,0.0001369407,0.0002295688,0.003109907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003985421,"about_ca_system_score_gemma":0.0001860736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411936,"about_ca_topic_score_gemma":0.001822839,"domain_scores_codex":[0.996299,0.0007824369,0.0008965484,0.0003685436,0.001094111,0.0005593731],"domain_scores_gemma":[0.997727,0.0004996631,0.0006772269,0.0003335225,0.0006093581,0.0001531785],"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":[0.00002961837,0.00005364997,0.1038166,0.0009511658,0.0002751382,0.000002342902,0.0727343,0.000108732,0.00004834627,0.7950752,0.02504932,0.001855588],"study_design_scores_gemma":[0.001502667,0.0001764684,0.01839685,0.001350274,0.00008083243,0.000007916671,0.2281234,0.0005078542,0.0002968895,0.001698635,0.7472363,0.0006219574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3590522,0.02264808,0.001085124,0.01030528,0.0097181,0.002785617,0.00008160347,0.0005792575,0.5937447],"genre_scores_gemma":[0.9003698,0.003934867,0.000271713,0.0007285394,0.0002653418,0.000121029,0.00003026484,0.00002516907,0.09425329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7933766,"threshold_uncertainty_score":0.999936,"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."}}