{"id":"W2087244348","doi":"10.7202/021057ar","title":"Caracteristic of Toponymic Generics in New Brunswick","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Variety (cybernetics); Marsh; Toponymy; Terminology; Geology; Geography; Channel (broadcasting); Archaeology; Physical geography; Linguistics; Cartography; Wetland; Ecology; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001660752,0.0005399735,0.0004828263,0.007930214,0.007975599,0.005480319,0.001839809,0.0008629161,0.01190296],"category_scores_gemma":[0.003882601,0.000363692,0.0004988575,0.01428487,0.007790043,0.004082506,0.005686346,0.002222303,0.0008755979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03914113,"about_ca_system_score_gemma":0.01564116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7926078,"about_ca_topic_score_gemma":0.8900612,"domain_scores_codex":[0.9966883,0.000601907,0.0003400966,0.0003026411,0.0008445688,0.001222638],"domain_scores_gemma":[0.9978032,0.000279486,0.0003681048,0.0002448482,0.001005302,0.0002990058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001292371,0.00002839736,0.03500681,0.00071897,0.00004013329,0.003191961,0.1184433,0.0004363815,0.007813149,0.7205191,0.04677054,0.06690202],"study_design_scores_gemma":[0.00002511905,0.00002187533,0.06062477,0.0007715801,0.00003910557,0.002420197,0.1233586,0.0004143534,0.0009487467,0.02477507,0.7864319,0.000168781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2172233,0.005664303,0.007535404,0.007003419,0.0006870325,0.0003049693,0.003636789,0.0002583486,0.7576865],"genre_scores_gemma":[0.9574814,0.001913482,0.00425714,0.001155331,0.00004733001,0.0001431769,0.001755872,0.0001704039,0.03307565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2073922,"threshold_uncertainty_score":0.4172271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005916645781461488,"score_gpt":0.2027477389317412,"score_spread":0.1968310931502797,"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."}}