{"id":"W2743778855","doi":"10.1061/9780784480878.008","title":"Reliability of Documentation: How Can We Reliably Design or Construct When Our Information Is Being Hijacked?","year":2017,"lang":"en","type":"article","venue":"Pipelines 2017","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada); Alberta Conservation Association","funders":"","keywords":"Documentation; Construct (python library); Computer science; Component (thermodynamics); Reliability (semiconductor); Scale (ratio); Data science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07647467,0.001368646,0.001953958,0.00926663,0.004366547,0.02081517,0.005410727,0.006613027,0.007525802],"category_scores_gemma":[0.420592,0.001774306,0.001074615,0.006228103,0.01914245,0.0436806,0.008005493,0.005652608,0.007096465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005865742,"about_ca_system_score_gemma":0.01246107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114607,"about_ca_topic_score_gemma":0.004220216,"domain_scores_codex":[0.9181591,0.04129195,0.00760642,0.006139803,0.02424249,0.00256024],"domain_scores_gemma":[0.5403436,0.2154545,0.04577246,0.08625457,0.1060108,0.006164164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003988916,0.00023702,0.04056745,0.003503246,0.0003084926,0.0003571553,0.01740194,0.008308834,0.00189167,0.3298317,0.06925466,0.5279388],"study_design_scores_gemma":[0.00009920224,0.000332158,0.0155999,0.006217204,0.0001784028,0.0009389776,0.01253194,0.0174877,0.004077936,0.7220939,0.22,0.00044273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06006234,0.04418141,0.6139018,0.1769459,0.004223004,0.0008434933,0.002062343,0.005351061,0.09242876],"genre_scores_gemma":[0.7143925,0.02091686,0.2355443,0.008048384,0.002836902,0.0008063816,0.002156245,0.002636668,0.01266174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07647467,"threshold_uncertainty_score":0.4044416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364708113557313,"score_gpt":0.3178288963031748,"score_spread":0.2241818151676017,"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."}}