{"id":"W2553435456","doi":"10.1098/rstb.2016.0047","title":"The long road of statistical learning research: past, present and future","year":2016,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Language Development and Disorders","field":"Psychology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Institute of Child Health and Human Development; European Research Council; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Israel Science Foundation","keywords":"Statistical learning; Computer science; Artificial intelligence","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":[0.0179459,0.0008948178,0.00208209,0.003634538,0.002746653,0.009070985,0.00243607,0.006722878,0.00954769],"category_scores_gemma":[0.02035613,0.0006992782,0.0008757155,0.005263421,0.01935032,0.02743301,0.004292416,0.01100209,0.003080687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003565686,"about_ca_system_score_gemma":0.005944365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986894,"about_ca_topic_score_gemma":0.003247368,"domain_scores_codex":[0.9962499,0.001720711,0.0002578654,0.0006932855,0.0007737368,0.0003045324],"domain_scores_gemma":[0.9496294,0.03657382,0.001514903,0.003008362,0.005936692,0.003336815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003263201,0.0002480943,0.0026594,0.004234561,0.0001229271,0.0001696945,0.001421466,0.001158746,0.0007096869,0.3530835,0.08185447,0.5540112],"study_design_scores_gemma":[0.00003188239,0.0001453176,0.001897046,0.003863063,0.00003797833,0.0002565463,0.001895867,0.001406356,0.0003237626,0.7058007,0.2842318,0.0001097082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001587821,0.8195574,0.008808457,0.1607964,0.003708052,0.00001030185,0.0001191346,0.0001334221,0.005279052],"genre_scores_gemma":[0.06346332,0.8648762,0.0179894,0.02568295,0.02410036,0.00008632889,0.0002484694,0.0001402414,0.003412831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0179459,"threshold_uncertainty_score":0.09490812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08763444392813602,"score_gpt":0.3602741450549166,"score_spread":0.2726397011267806,"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."}}