{"id":"W4285280355","doi":"10.1007/978-3-030-97303-2_8","title":"Ockham on Abstract Pseudo-Names","year":2022,"lang":"en","type":"book-chapter","venue":"Logic, epistemology, and the unity of science","topic":"Historical Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"History; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891854,0.000695363,0.0009431388,0.00207427,0.003973747,0.006205655,0.00111094,0.002195447,0.01411064],"category_scores_gemma":[0.007061966,0.0006351945,0.0007374932,0.00291717,0.01642836,0.01468951,0.00181826,0.005728563,0.002630512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004904996,"about_ca_system_score_gemma":0.001833672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008197906,"about_ca_topic_score_gemma":0.007485812,"domain_scores_codex":[0.9977996,0.001076468,0.0001103422,0.0004026569,0.0004661423,0.0001447484],"domain_scores_gemma":[0.9972925,0.001829023,0.00009940752,0.0004379148,0.0002897868,0.00005140361],"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":[0.000004238621,0.000001514478,0.00001032384,0.00001021534,0.00000106685,0.000004421915,0.0001701275,0.00003735553,0.00001445441,0.9949646,0.003175975,0.001605663],"study_design_scores_gemma":[0.000005151407,0.000001795738,0.0000247948,0.00001698596,0.000002027972,0.00001250652,0.0000488998,0.0001266309,0.00003412705,0.9706839,0.02903946,0.000003567533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005164215,0.01965716,0.04902245,0.01293666,0.001880502,0.00003414589,0.000405357,0.0002006592,0.9106989],"genre_scores_gemma":[0.6291525,0.01150167,0.02905426,0.007449654,0.003721436,0.0003516044,0.0005532691,0.0007219127,0.3174936],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01411064,"threshold_uncertainty_score":0.04720473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04571096621211001,"score_gpt":0.2483136192108748,"score_spread":0.2026026529987648,"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."}}