{"id":"W2038217812","doi":"10.1007/s11023-006-9029-z","title":"Neural networks discover a near-identity relation to distinguish simple syntactic forms","year":2006,"lang":"en","type":"article","venue":"Minds and Machines","topic":"Language Development and Disorders","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Rule-based machine translation; Simple (philosophy); Relation (database); Grammar; Artificial intelligence; Natural language processing; Computer science; Artificial neural network; Identity (music); Representation (politics); Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021912,0.0003385597,0.00028987,0.0008194478,0.0005262074,0.001173406,0.000534004,0.0006788303,0.003076714],"category_scores_gemma":[0.002916934,0.0002573986,0.0004012071,0.0004249956,0.0006143065,0.002664717,0.001049784,0.001084858,0.0009082231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367547,"about_ca_system_score_gemma":0.0003916322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159289,"about_ca_topic_score_gemma":0.001886673,"domain_scores_codex":[0.999694,0.0000544133,0.00002082032,0.0001300032,0.00006151632,0.00003921165],"domain_scores_gemma":[0.9989373,0.0004814581,0.000153779,0.0001914707,0.0001563296,0.00007963993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000931067,0.0003896691,0.087693,0.0002471923,0.0002198256,0.0009522821,0.001461099,0.0133274,0.1724745,0.08352385,0.006010089,0.6327701],"study_design_scores_gemma":[0.00005294017,0.0002484114,0.118357,0.00009395612,0.0001743614,0.001055268,0.00139948,0.4873762,0.06186673,0.3234091,0.005895079,0.00007134185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026598,0.0002479582,0.08145803,0.0005419161,0.0001023974,0.00002348487,0.000319441,0.0003786537,0.01426822],"genre_scores_gemma":[0.9859414,0.00007361057,0.01195019,0.00006645804,0.00001777873,0.000008876144,0.0002895764,0.0000412758,0.001610928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003076714,"threshold_uncertainty_score":0.01029259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007298552133628749,"score_gpt":0.2789338205806933,"score_spread":0.2716352684470645,"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."}}