{"id":"W2134902474","doi":"10.1017/s1360674308002669","title":"So different and pretty cool! Recycling intensifiers in Toronto, Canada","year":2008,"lang":"en","type":"article","venue":"English Language and Linguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adjective; Linguistics; History; Intersection (aeronautics); Psychology; Geography; Philosophy; Cartography; Noun","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005377313,0.0003715478,0.0004734044,0.00282805,0.008825897,0.002543845,0.001056103,0.0004887079,0.004642249],"category_scores_gemma":[0.001711687,0.0004143106,0.0002731083,0.00661024,0.003521122,0.0006689905,0.001548,0.0006836509,0.0003424588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0594808,"about_ca_system_score_gemma":0.03395271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955237,"about_ca_topic_score_gemma":0.9991022,"domain_scores_codex":[0.9989927,0.0001055873,0.00003863404,0.0001772428,0.0003541784,0.0003317281],"domain_scores_gemma":[0.9985179,0.0001754042,0.0001858098,0.00005410622,0.0008549588,0.000211788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003560352,0.00008732236,0.3220225,0.0004632831,0.0000861524,0.002630971,0.5671846,0.0006004861,0.01373516,0.00995258,0.008083072,0.07479772],"study_design_scores_gemma":[0.000005440726,0.00005244068,0.7808581,0.0000823899,0.00003014917,0.0003281758,0.1855784,0.0002828178,0.001278258,0.0001980242,0.03124584,0.00005999505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865661,0.0006412636,0.0002908621,0.000295034,0.00000978244,0.00003678408,0.001306839,0.00002304558,0.01083031],"genre_scores_gemma":[0.9901745,0.0004178653,0.0005223396,0.00006719397,0.000002816585,0.00001711197,0.0004511572,0.00002414219,0.008322919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0594808,"threshold_uncertainty_score":0.4315655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227946208198238,"score_gpt":0.2674522667790448,"score_spread":0.2551728046970624,"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."}}