{"id":"W4388215843","doi":"10.1093/oso/9780195141146.001.0001","title":"Metarepresentations","year":2000,"lang":"en","type":"book","venue":"","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Cognitive science; Epistemology; Linguistics; Cognition; Philosophy; Psychology; Computer science; Library science; Neuroscience","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":[0.002753167,0.0008001606,0.0005452337,0.003085741,0.001866491,0.0092876,0.001651348,0.001601482,0.02034467],"category_scores_gemma":[0.008503914,0.0004300482,0.001107084,0.00286881,0.007205939,0.01654793,0.004061738,0.003430285,0.0035418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00350939,"about_ca_system_score_gemma":0.001605987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813882,"about_ca_topic_score_gemma":0.001361586,"domain_scores_codex":[0.9965753,0.001607732,0.0002091982,0.0005437811,0.0008645016,0.0001993912],"domain_scores_gemma":[0.9950413,0.002032902,0.0002895272,0.001692011,0.0007617543,0.0001824323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006216281,0.00000527596,0.00006172533,0.0000386911,0.000007009926,0.00002317607,0.0009895805,0.0001048986,0.00008397864,0.9829914,0.004965232,0.01072277],"study_design_scores_gemma":[0.000006673787,0.000006274647,0.0001152413,0.0001192867,0.00001229338,0.0001502908,0.0005723672,0.0006092954,0.0003436884,0.8530701,0.1449869,0.000007485743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01022878,0.01319739,0.1653571,0.01263855,0.00101534,0.00008163101,0.0006574752,0.0007157478,0.7961079],"genre_scores_gemma":[0.7683755,0.01221628,0.06610033,0.003383347,0.001795793,0.0002921305,0.002415871,0.001029494,0.1443913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02034467,"threshold_uncertainty_score":0.06805974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06043871070548402,"score_gpt":0.2841838758204541,"score_spread":0.2237451651149701,"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."}}