{"id":"W4241583878","doi":"10.1016/s0883-153x(00)90016-x","title":"US, UK, and Canadian dissertations","year":2000,"lang":"en","type":"article","venue":"Polymer Contents","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Geography; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003459814,0.00003472064,0.0000508677,0.00002265842,0.0004372496,0.00002328997,0.00005439795,0.00002784411,0.004956223],"category_scores_gemma":[0.00001064081,0.00003480413,0.00001772556,0.00002353965,0.0001154867,0.00005862392,0.000001670835,0.000026964,0.0003377792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000388039,"about_ca_system_score_gemma":0.00006474752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7577227,"about_ca_topic_score_gemma":0.6774049,"domain_scores_codex":[0.9995879,0.00001468051,0.0000581744,0.00007661994,0.00003573601,0.000226886],"domain_scores_gemma":[0.9995585,0.00001307722,0.000005972764,0.00003897864,0.000006452331,0.00037699],"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":[0.00002605157,0.0000661669,0.3583426,0.000006103702,0.00006716259,0.00002286731,0.0332037,3.352446e-7,0.0001386484,0.3728243,0.01089876,0.2244032],"study_design_scores_gemma":[0.00021852,0.00001078835,0.1536719,0.000006779517,0.00001097911,9.264306e-7,0.001285422,0.00001303822,0.00003858151,0.00128553,0.8433105,0.0001470799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6327245,0.0003186367,1.604957e-7,0.00163966,0.00008574318,0.000023365,0.000008447214,0.000007951561,0.3651915],"genre_scores_gemma":[0.8988342,0.0000396856,0.000002586223,0.001172257,0.00005628914,0.000003051575,0.000002258747,0.000002049551,0.09988759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324117,"threshold_uncertainty_score":0.9959534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270116588982964,"score_gpt":0.2568014213787362,"score_spread":0.2341002554889065,"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."}}