{"id":"W4242726153","doi":"10.1093/owc/9780199554768.003.0003","title":"Chapter I","year":2009,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mile; Quarter (Canadian coin); Geography; Railway line; Archaeology; Cartography; Engineering; Civil engineering; Geodesy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002589523,0.0007642967,0.0004464455,0.001631649,0.00156581,0.003786301,0.000893418,0.001018753,0.3552579],"category_scores_gemma":[0.001000254,0.000321032,0.0004373225,0.001682672,0.0008208824,0.002526264,0.001652842,0.002036951,0.1824038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180656,"about_ca_system_score_gemma":0.001401123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400665,"about_ca_topic_score_gemma":0.006737943,"domain_scores_codex":[0.9996784,0.00003487761,0.00001425508,0.00007616858,0.0001612869,0.00003502937],"domain_scores_gemma":[0.9997303,0.00005288847,0.00001516999,0.00003352415,0.0001139563,0.00005416179],"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":[0.00001362022,0.00003079746,0.00008240453,0.0001889487,0.000002671055,0.00003948609,0.0004333375,0.00007216421,0.0003574416,0.0473365,0.8541517,0.0972911],"study_design_scores_gemma":[6.451764e-7,0.00000328034,0.00009182995,0.00009274491,6.819375e-7,0.00003840731,0.00005080892,0.00001147226,0.00003665225,0.00240872,0.9972632,0.000001669781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003334431,0.009733683,0.001077313,0.00181289,0.003267038,0.00005311971,0.0006049122,0.0001926179,0.9829249],"genre_scores_gemma":[0.001847963,0.004887454,0.0005879673,0.0006927432,0.0007676017,0.0000338621,0.0006033611,0.0001510345,0.9904281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6447421,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678799727172726,"score_gpt":0.2471932476138404,"score_spread":0.2104052503421132,"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."}}