{"id":"W2144702158","doi":"10.1080/09540091.2012.664121","title":"Strong systematicity through sensorimotor conceptual grounding: an unsupervised, developmental approach to connectionist sentence processing","year":2012,"lang":"en","type":"article","venue":"Connection Science","topic":"Language Development and Disorders","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Connectionism; Computer science; Language acquisition; Noun; Natural language processing; Artificial intelligence; Sentence; Grammar; Verb; Semantics (computer science); Cognitive science; Psychology; Linguistics; Artificial neural network","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":[0.0005334353,0.0002629549,0.000196411,0.0005055363,0.0003039721,0.0008236961,0.001029585,0.0003055405,0.001415977],"category_scores_gemma":[0.002291115,0.0003201902,0.0004110718,0.0003085015,0.001360987,0.001782145,0.0008470115,0.0008654819,0.0002150847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007784865,"about_ca_system_score_gemma":0.0006165971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246325,"about_ca_topic_score_gemma":0.004324528,"domain_scores_codex":[0.9998019,0.00006535964,0.000007742755,0.00007317818,0.00003543521,0.00001635335],"domain_scores_gemma":[0.9992039,0.0003617608,0.0001069599,0.000180301,0.00009404732,0.00005300084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006263157,0.00009701547,0.01989307,0.0002131563,0.0001521811,0.0005437064,0.002396596,0.2225508,0.07950975,0.4524333,0.001350702,0.2207972],"study_design_scores_gemma":[0.000005734085,0.00007664903,0.008847121,0.00002283825,0.00002789148,0.0002970096,0.0001483926,0.708389,0.01154757,0.2672826,0.003322602,0.00003248168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1896293,0.0001618437,0.8022175,0.0006930814,0.0000152688,0.00004014529,0.0001209713,0.0003631567,0.006758737],"genre_scores_gemma":[0.8653785,0.0001766994,0.1319229,0.00004371027,0.00001088012,0.00005995696,0.0000932853,0.00008407699,0.002230042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002246325,"threshold_uncertainty_score":0.005648315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078518885357267,"score_gpt":0.3546373978411901,"score_spread":0.2467855093054634,"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."}}