{"id":"W4378381162","doi":"10.1515/9780773596689-013","title":"Genes, Class, or Culture? French-English Height Differences in Canada","year":2015,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Genealogy; Geography; History; Computer science; Artificial intelligence","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":[0.0007136716,0.0002801303,0.0004571438,0.001295163,0.004048147,0.002169463,0.0009784293,0.0006112637,0.008040609],"category_scores_gemma":[0.001807539,0.0001773241,0.0002510207,0.004106726,0.002529108,0.0005822798,0.000729505,0.0008022151,0.000391288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02771633,"about_ca_system_score_gemma":0.02612535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943305,"about_ca_topic_score_gemma":0.9978331,"domain_scores_codex":[0.9993947,0.00006183211,0.0000194278,0.0001092405,0.0001515749,0.0002633606],"domain_scores_gemma":[0.9990584,0.0002904788,0.00006040347,0.00003844835,0.0003715531,0.0001807395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006864585,0.00009402694,0.2519478,0.000306781,0.0002462762,0.001546534,0.09272055,0.001400841,0.004508314,0.1824433,0.07137389,0.3927252],"study_design_scores_gemma":[0.00003227258,0.00003750564,0.847804,0.0004439984,0.00009523673,0.0003067874,0.04169181,0.0008240304,0.0007019594,0.0096579,0.09829458,0.000110065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8205978,0.03360948,0.000558061,0.01582024,0.0002219844,0.00001671444,0.00303465,0.00006268706,0.1260783],"genre_scores_gemma":[0.9754559,0.004812676,0.0003661042,0.00046206,0.00002799294,0.000005776119,0.000386758,0.00003163551,0.01845106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02771633,"threshold_uncertainty_score":0.201097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340878828564654,"score_gpt":0.2279139108775364,"score_spread":0.193826028021071,"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."}}