{"id":"W2505386209","doi":"10.1075/scl.13.04tag","title":"Have to, gotta, must?","year":2004,"lang":"en","type":"book-chapter","venue":"Studies in corpus linguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006975711,0.000354256,0.0006779968,0.000276757,0.0004113232,0.00003587369,0.000402727,0.0004836207,0.0004161803],"category_scores_gemma":[0.0322886,0.000385616,0.0001202124,0.00007363339,0.0007691891,0.000006290722,0.0002658579,0.0005341309,0.0004099093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043114,"about_ca_system_score_gemma":0.0007325577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114844,"about_ca_topic_score_gemma":0.01045867,"domain_scores_codex":[0.9977733,0.00004965511,0.0006136863,0.0005353639,0.0005121835,0.000515835],"domain_scores_gemma":[0.9972527,0.0005729357,0.0002770707,0.0003648968,0.001346091,0.0001862998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001232826,0.00001869923,0.00008611019,0.00004015745,0.00008378008,0.0003379539,0.01739988,0.00003595394,1.42157e-7,0.9711553,0.00998928,0.0008403808],"study_design_scores_gemma":[0.0002283206,0.00005100495,0.00001052298,0.0002356312,0.00006064024,9.262034e-7,0.001005795,0.000001022712,7.73237e-7,0.2567354,0.7413549,0.0003150849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005187041,0.00156162,0.0000875562,0.0004871384,0.01747373,0.0004903022,0.0000670064,0.0001072182,0.9797202],"genre_scores_gemma":[0.03827035,0.004627327,0.004985023,0.002476231,0.01530737,0.0000397571,0.00003416303,0.0001095541,0.9341502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7313657,"threshold_uncertainty_score":0.9998596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029219713045221,"score_gpt":0.3900376002281847,"score_spread":0.2871156289236626,"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."}}