{"id":"W4242224368","doi":"10.1017/cnj.2016.32","title":"Best student talk (CLA 2016, University of Calgary) Neil Banerjee (University of Toronto) “Of monsters and modals”","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Linguistics / La revue canadienne de linguistique","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modal verb; Content (measure theory); Content analysis; Action (physics); Psychology; Applied linguistics; Sociology; Linguistics; Pedagogy; Verb; Philosophy; Anthropology; Mathematics","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":[0.0018535,0.001002499,0.0005936309,0.00176733,0.004891469,0.005058596,0.000884979,0.001729866,0.2230009],"category_scores_gemma":[0.002256311,0.0005189755,0.0003866619,0.001222296,0.001007998,0.002142607,0.003157672,0.002262233,0.06557548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005250257,"about_ca_system_score_gemma":0.004092899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06912328,"about_ca_topic_score_gemma":0.3145896,"domain_scores_codex":[0.9992608,0.0001494513,0.00002660326,0.0001822377,0.0002348589,0.0001460251],"domain_scores_gemma":[0.9987251,0.0001326823,0.00005182513,0.00007592031,0.0003520665,0.0006623928],"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":[0.00004121137,0.00001170486,0.0001839158,0.00005063934,0.000002673507,0.00007728629,0.0005009377,0.00003104793,0.0001849334,0.002076067,0.9759344,0.02090517],"study_design_scores_gemma":[0.000006782148,0.000009220985,0.001436742,0.0001117505,0.000002181126,0.00003718744,0.0006629989,0.00003694002,0.0001805124,0.000538349,0.9969699,0.000007479312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01010351,0.06408081,0.003988086,0.1297038,0.08183244,0.0003610941,0.01657935,0.00298556,0.6903655],"genre_scores_gemma":[0.01423551,0.004189471,0.001031011,0.001968611,0.002640361,0.00004387807,0.001640361,0.0006875884,0.9735632],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9308767,"threshold_uncertainty_score":0.7460123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008439119739333943,"score_gpt":0.223881266358925,"score_spread":0.215442146619591,"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."}}