{"id":"W7055362058","doi":"","title":"a Canadian, a Communist, and a Christian","year":2021,"lang":"en","type":"dissertation","venue":"Utrecht University Repository (Utrecht University)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TSG101; Pretext; Population; Circumstantial evidence; Subject (documents); Filter (signal processing)","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":[0.00005673147,0.0003905283,0.0004250668,0.0005657193,0.0007537681,0.0000856633,0.0005522294,0.0006041904,0.0002635816],"category_scores_gemma":[0.00001025831,0.0005258046,0.0001621173,0.0006503651,0.0001088769,0.0001821321,0.00009522006,0.000772332,0.00002754873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013984,"about_ca_system_score_gemma":0.0005043246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06677236,"about_ca_topic_score_gemma":0.11945,"domain_scores_codex":[0.9986225,0.00009564472,0.0001795524,0.0004787571,0.0001823023,0.0004412188],"domain_scores_gemma":[0.9985427,0.00007240773,0.0000748607,0.0005962705,0.000156175,0.0005575304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002014604,0.001951318,0.005325113,0.01356771,0.01127445,0.05344357,0.04251002,0.003370848,0.03076218,0.1873697,0.399869,0.2485414],"study_design_scores_gemma":[0.0005496013,0.0000497891,0.0005176046,0.0002624504,0.0004407214,0.00005487754,0.015182,0.00144866,0.0007253927,0.00002733873,0.9799494,0.0007921783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1263905,0.001461209,0.0000900799,0.0002093525,0.0006417009,0.0003863424,0.0001249633,0.0004635642,0.8702322],"genre_scores_gemma":[0.3394279,0.001932794,0.0007088971,0.00004102253,0.0001233175,0.00000104714,0.0008374302,0.00008505909,0.6568425],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5800804,"threshold_uncertainty_score":0.9997194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00399470839839801,"score_gpt":0.1417550236364696,"score_spread":0.1377603152380715,"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."}}