{"id":"W7106161927","doi":"10.5281/zenodo.17648835","title":"Causal Linguistics and Residue Geometry: A Complete Integration of CT, Biological Imperatives, Human Cognition, Archetypes, Supracausality, and the Linguistic Residues of English, French, and Inuit","year":2025,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unification; Grammar; Terminology; Causation; Causality (physics); Theoretical linguistics; Causal model; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00133003,0.0002315342,0.0004315568,0.0003472306,0.0008155266,0.0002702969,0.0003924633,0.0001660156,0.001714502],"category_scores_gemma":[0.00964529,0.0001925449,0.00004547458,0.0003172531,0.001403748,0.0000289679,0.001376436,0.0005786864,0.00001210892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004728647,"about_ca_system_score_gemma":0.00001829629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138974,"about_ca_topic_score_gemma":0.0001356996,"domain_scores_codex":[0.9972084,0.001222925,0.0005811478,0.0005515715,0.0002268761,0.000209143],"domain_scores_gemma":[0.9967073,0.0003126688,0.0003364242,0.0004408078,0.002112832,0.00008997479],"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":[0.0009264248,0.0005773848,0.001610708,0.001723434,0.0008318289,0.00002628691,0.2453483,0.00002091202,0.004077417,0.7043556,0.02863576,0.01186593],"study_design_scores_gemma":[0.01369546,0.003004375,0.3438948,0.001996996,0.001567405,0.0002535028,0.02768423,0.0007120921,0.001344074,0.09998868,0.503507,0.002351371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006014,0.002697514,0.002449093,0.0002515451,0.0006822398,0.002241647,0.006324922,0.0004452764,0.08430631],"genre_scores_gemma":[0.9936079,0.0007468824,0.000193355,0.00004008811,0.0003944321,4.455127e-7,0.004277961,0.000176329,0.0005625873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6043669,"threshold_uncertainty_score":0.9991981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0600845695678929,"score_gpt":0.3212783259281077,"score_spread":0.2611937563602148,"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."}}