{"id":"W7060029181","doi":"","title":"9781000479515.pdf","year":2021,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Corporate governance; Reading (process); Compliance (psychology); Reflection (computer programming); Business ethics; Ethical code; Good governance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001456158,0.0003958836,0.0003748233,0.0001576181,0.00008093154,0.0001929945,0.000599037,0.0003305584,0.960615],"category_scores_gemma":[0.00004320905,0.0003509893,0.0001352564,0.0002572484,0.00008533769,0.00005636177,0.0001134287,0.0004648855,0.7372022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008003983,"about_ca_system_score_gemma":0.00005422676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002281204,"about_ca_topic_score_gemma":0.000390949,"domain_scores_codex":[0.9986023,0.00006895154,0.0003184159,0.0003473868,0.0003271563,0.0003358423],"domain_scores_gemma":[0.998708,0.0001004615,0.00009959013,0.0009765888,0.00004200686,0.00007342774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001314537,0.00001230862,0.00001045355,0.0001330404,0.00009944831,0.00001387453,0.00004608628,0.000019226,0.0002424582,0.000678756,0.03725755,0.9614855],"study_design_scores_gemma":[0.0001172113,0.00001549532,0.0000827297,0.0001590367,0.00005351557,0.0000184051,0.00001940606,0.0003663661,0.0004345675,0.0003341433,0.9979916,0.0004075741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002037913,0.00002521629,0.001737526,0.0003420906,0.0009862778,0.0005487925,8.913315e-9,0.001117182,0.9952225],"genre_scores_gemma":[0.0006892924,0.0006240436,0.004162846,0.0002880667,0.0006897435,0.000135779,0.0003259307,0.000605754,0.9924785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9610779,"threshold_uncertainty_score":0.9998942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008398172770980443,"score_gpt":0.2195165928319484,"score_spread":0.2111184200609679,"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."}}