{"id":"W2058720783","doi":"10.1109/devlrn.2010.5578867","title":"Bootstrapping syntax from morpho-phonology","year":2010,"lang":"en","type":"article","venue":"","topic":"Language Development and Disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Syntax; Bootstrapping (finance); Artificial intelligence; Natural language processing; Phonology; Generalization; Morpho; Artificial neural network; Linguistics; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005788618,0.00009897124,0.0001081769,0.000060488,0.00004566502,0.00001705436,0.0001723509,0.0001576469,0.08480304],"category_scores_gemma":[0.00002426784,0.00008449861,0.00003826518,0.00007538196,0.00005537186,0.00004374494,0.0000333839,0.0002123213,0.00416511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004359223,"about_ca_system_score_gemma":0.00001990405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002155945,"about_ca_topic_score_gemma":0.001173202,"domain_scores_codex":[0.9992931,0.00001820977,0.0001354974,0.0002443128,0.00005892659,0.0002499181],"domain_scores_gemma":[0.9995527,0.00006801503,0.000031566,0.0002747598,0.000014029,0.00005889301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001910635,0.0005517016,0.3717924,0.000007960507,0.0006350931,0.0004676212,0.02024753,0.000001185124,0.1531204,0.1100224,0.2427664,0.1001962],"study_design_scores_gemma":[0.002429088,0.00004977365,0.7591175,0.00000549623,0.0000361582,0.00004731421,0.008720001,0.00003412969,0.005854957,0.008535781,0.2144194,0.0007504322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7210211,0.00006189598,0.0006985795,0.0004762298,0.0016632,0.00005986337,0.000003765241,0.0001303344,0.275885],"genre_scores_gemma":[0.9856985,0.00000173666,0.001298622,0.001226286,0.0001358145,0.00001843598,0.00003277626,0.00001285313,0.01157497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387325,"threshold_uncertainty_score":0.9966103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366241164366906,"score_gpt":0.2756133746090693,"score_spread":0.2662471334447024,"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."}}