{"id":"W4388428776","doi":"10.23977/aetp.2023.071419","title":"Investigation on the Ideological and Political Elements of \"Materials for Mechanical Engineering\"","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Accreditation; Politics; Field (mathematics); Engineering ethics; Work (physics); Process (computing); Sociology; Political science; Engineering; Mechanical engineering; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.002436941,0.000220744,0.0001605166,0.001167833,0.001485082,0.002576664,0.0002357064,0.0004299437,0.002726174],"category_scores_gemma":[0.004358206,0.00008392286,0.0001273186,0.0004584468,0.001842771,0.00099899,0.001367511,0.001079998,0.0003424209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460172,"about_ca_system_score_gemma":0.001856844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002708815,"about_ca_topic_score_gemma":0.0009441098,"domain_scores_codex":[0.9986079,0.0005980155,0.0000502281,0.00007197849,0.0005348356,0.0001369492],"domain_scores_gemma":[0.9967068,0.002137604,0.0004583162,0.00008835401,0.0003485323,0.0002604848],"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":[0.0003012076,0.001722005,0.1028873,0.0007814218,0.00001986604,0.0008722612,0.08024757,0.0008214467,0.01625333,0.4005366,0.006991406,0.3885656],"study_design_scores_gemma":[0.00003725575,0.00100996,0.4234913,0.00125535,0.00008129817,0.001063531,0.1992398,0.004829748,0.02980123,0.07454304,0.264565,0.00008245567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808589,0.0005241553,0.004878318,0.001292213,0.0001201071,0.0001063548,0.00002533933,0.00001329418,0.1121812],"genre_scores_gemma":[0.9880018,0.0004169241,0.002166689,0.0001806441,0.00003368598,0.00006259491,0.00003955696,0.000006427206,0.009091703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002726174,"threshold_uncertainty_score":0.0128879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05003804773909967,"score_gpt":0.4099412418009931,"score_spread":0.3599031940618934,"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."}}