{"id":"W7097176283","doi":"","title":"Canadian Journal of LinguisticsRevue canadienne de linguistique 40(2):201-234 Jundiuin 1995 Modularity in Thematic versus Aspectual Licensing: Paths and Moved Objects in Motion Verbs","year":2014,"lang":"en","type":"article","venue":"","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modularity (biology); Thematic map; Noun; Noun phrase; Motion (physics); Modular design","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":[],"consensus_categories":[],"category_scores_codex":[0.001097126,0.0001725407,0.0003102166,0.0005134342,0.00008287393,0.00005245439,0.0001399689,0.0002245795,0.0004748552],"category_scores_gemma":[0.002622397,0.0001767382,0.00004348552,0.0002802754,0.00007105289,0.00004759908,0.00001214532,0.0003338174,0.00001120573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006329176,"about_ca_system_score_gemma":0.0004328617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6551921,"about_ca_topic_score_gemma":0.9800044,"domain_scores_codex":[0.9983997,0.000253054,0.0004848553,0.0002485946,0.00009270648,0.0005210307],"domain_scores_gemma":[0.9988269,0.0002182164,0.0001560732,0.0002506535,0.0001860447,0.0003621321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006650731,0.0005836917,0.3667365,0.0002802816,0.0001608617,0.0008863509,0.4391133,0.001544555,0.001315326,0.1791616,0.0008679589,0.008684536],"study_design_scores_gemma":[0.005661191,0.0004400251,0.9511284,0.000185273,0.00008386122,0.0002252392,0.01710507,0.01235202,0.0001224976,0.01113955,0.0009529594,0.0006038898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868575,0.0001425999,0.002483428,0.00009425747,0.001195747,0.0001714021,0.000007814911,0.00001555636,0.00903166],"genre_scores_gemma":[0.9981865,0.00001399527,0.0007599675,0.00009594306,0.0005266356,0.000003472083,0.00002164413,0.00002524075,0.0003665656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.584392,"threshold_uncertainty_score":0.7207174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347071252697613,"score_gpt":0.2756640714494205,"score_spread":0.2621933589224444,"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."}}