{"id":"W1664605981","doi":"10.3968/j.hess.1927024020140602.z022","title":"Human Nature-History-Honesty Norms of Scientific Ethics","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honesty; Engineering ethics; Epistemology; Tetrahedron; Sociology; Human being; Psychology; Political science; Social psychology; Philosophy; Law; Mathematics; Humanity; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02489598,0.000496637,0.000702158,0.001278982,0.004591073,0.006485857,0.0009845463,0.006208302,0.003357344],"category_scores_gemma":[0.04610127,0.0005127051,0.0006511897,0.0008109926,0.03381811,0.008360414,0.003745207,0.006665283,0.0008569701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003559524,"about_ca_system_score_gemma":0.005739213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988006,"about_ca_topic_score_gemma":0.002358205,"domain_scores_codex":[0.9658472,0.01759426,0.002698349,0.003665003,0.00881536,0.00137982],"domain_scores_gemma":[0.9503695,0.02652005,0.005202419,0.005835233,0.01008349,0.001989366],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001174884,0.00001329349,0.0003509025,0.00002241815,0.000005520664,0.0000399993,0.00133896,0.000154455,0.000117057,0.9943657,0.0011861,0.002393986],"study_design_scores_gemma":[0.00002275095,0.00003038082,0.0007029979,0.00006854773,0.000008320416,0.0001326191,0.0005267152,0.0004794121,0.0003167131,0.9746957,0.02298731,0.00002861277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04152764,0.002674597,0.1595861,0.07613412,0.001389469,0.0003499396,0.000284427,0.0001407894,0.7179129],"genre_scores_gemma":[0.9450138,0.00068794,0.03132308,0.007068587,0.0008194537,0.0004643786,0.00008637695,0.000054647,0.01448156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.975104,"threshold_uncertainty_score":0.1316641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03986749154484638,"score_gpt":0.3165493969247783,"score_spread":0.2766819053799319,"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."}}