{"id":"W4380243007","doi":"10.1515/9780773568501-021","title":"Documentary and Map Sources of Patent Data for Essex County, Ontario","year":2000,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Cartography; History; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001189422,0.0006877027,0.0004888908,0.01706809,0.002100316,0.002820032,0.001057057,0.0004794051,0.07376117],"category_scores_gemma":[0.007349771,0.0005706118,0.0004014739,0.03464984,0.0006026553,0.0009917303,0.0007508086,0.0004333588,0.01403213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02121716,"about_ca_system_score_gemma":0.06545064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979422,"about_ca_topic_score_gemma":0.9875849,"domain_scores_codex":[0.9981411,0.00005339372,0.0002030136,0.0001375682,0.001227598,0.0002374477],"domain_scores_gemma":[0.9898075,0.001066723,0.0008163778,0.0005642418,0.007255511,0.0004896055],"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":[0.000109815,0.00003354813,0.01075607,0.001186729,0.00003170215,0.0001960646,0.001291782,0.0006185633,0.0006803236,0.004687372,0.9117713,0.06863663],"study_design_scores_gemma":[0.00003567879,0.0000119052,0.08333816,0.0002281746,0.00002961852,0.00005321049,0.0007344318,0.0003162577,0.0005846013,0.0003506805,0.9142851,0.0000321007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007613663,0.001499757,0.0007989517,0.0007897132,0.0001137082,0.0003423609,0.8667161,0.0005714109,0.1215543],"genre_scores_gemma":[0.04661552,0.006878984,0.007474252,0.0002237805,0.0001014283,0.0006644815,0.584155,0.0005842886,0.3533023],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07376117,"threshold_uncertainty_score":0.2467557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182992991093697,"score_gpt":0.1933414306644902,"score_spread":0.1515115007535533,"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."}}