{"id":"W3092479361","doi":"10.1515/lingvan-2018-0068","title":"<i>I feel like</i> and <i>it feels like</i>: Two paths to the emergence of epistemic markers","year":2020,"lang":"en","type":"article","venue":"Linguistics Vanguard","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Complementizer; Preference; Variation (astronomy); Collocation (remote sensing); Vernacular; Persistence (discontinuity); Value (mathematics); Envelope (radar); Psychology; Epistemology; Linguistics; Philosophy; Computer science; Mathematics; Statistics; Syntax; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007638871,0.0001610795,0.000269659,0.00003969014,0.0003429656,0.00004796504,0.0004508207,0.00009922077,0.0002645998],"category_scores_gemma":[0.01244406,0.000139218,0.00007709639,0.0003894497,0.000257112,0.00001423164,0.0001586956,0.0001955448,0.00009789645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156411,"about_ca_system_score_gemma":0.0002199598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159103,"about_ca_topic_score_gemma":0.0009081907,"domain_scores_codex":[0.9982213,0.0002263022,0.0004279719,0.0003574238,0.0003988433,0.0003681387],"domain_scores_gemma":[0.9983094,0.0004091297,0.0001900448,0.0002732282,0.0004852276,0.0003329293],"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":[0.0002916538,0.0001407308,0.01161803,0.0001833839,0.0001795836,0.0001325679,0.1884433,0.0003380516,0.001218847,0.3880974,0.4028535,0.006502924],"study_design_scores_gemma":[0.0003878697,0.000117142,0.0003894764,0.00003178684,0.0000758169,0.000001856586,0.007076262,0.0002603747,0.00007496194,0.002310644,0.9890319,0.0002419196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03137252,0.002300518,0.02302842,0.1595785,0.03298092,0.003655621,0.0006060594,0.0006510681,0.7458263],"genre_scores_gemma":[0.9762957,0.0002074687,0.003948093,0.01597594,0.002357602,0.00001509687,0.000008837073,0.00002132288,0.001169955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9449232,"threshold_uncertainty_score":0.9958745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804845608191886,"score_gpt":0.3099939949485337,"score_spread":0.2819455388666148,"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."}}