{"id":"W7052015038","doi":"","title":"Procurement Circuit under Machine Learning Political Order:&#13;\\nGovernance of, through, and for AI","year":2023,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Legitimacy; Normative; Politics; Situational ethics; Intervention (counseling)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002539791,0.0002235682,0.0003285207,0.0002548587,0.0005041623,0.00007163842,0.0002822623,0.0001214113,0.00004003113],"category_scores_gemma":[0.00002554228,0.0002488368,0.0001346562,0.0006168099,0.0001377194,0.0002160079,0.0000900145,0.0006907716,0.00001189582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926086,"about_ca_system_score_gemma":0.0006503286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067926,"about_ca_topic_score_gemma":0.002763683,"domain_scores_codex":[0.9980173,0.0001103149,0.0002391232,0.0004639288,0.0004692932,0.0007000942],"domain_scores_gemma":[0.9989957,0.0001916206,0.0001633911,0.0002082207,0.0002852502,0.0001558731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001155915,0.0002389684,0.7441373,0.001170984,0.001154781,0.00005429655,0.00218323,0.00007741991,0.0168845,0.2293376,0.0007100464,0.002895046],"study_design_scores_gemma":[0.005034958,0.00152965,0.5786171,0.0009378351,0.0003830426,0.000005363521,0.01273679,0.002988212,0.3070503,0.02978187,0.05904926,0.001885602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664836,0.00009603083,0.0003256567,0.000151271,0.0003255437,0.0005684079,0.00004030282,0.00004910181,0.0319601],"genre_scores_gemma":[0.9590038,0.00003876266,0.00001664888,0.000003783988,0.0002316318,0.0000147038,0.000166824,0.00004134219,0.04048251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2901658,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007915339502611,"score_gpt":0.3051985484010069,"score_spread":0.2651193950059808,"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."}}