{"id":"W7133049836","doi":"","title":"It Doesn&apos;t Hurt to Try: The Impact of a Search for Structure in Artificial Grammar Learning","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Task (project management); Grammar; Cognition; Implicit learning; Sequence learning","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":[0.001347268,0.0001892237,0.0001593729,0.0001889658,0.000295317,0.00114593,0.0003321736,0.0004617731,0.001868816],"category_scores_gemma":[0.005661,0.0001713935,0.00012827,0.0001779505,0.003397216,0.001242272,0.0008134576,0.001010919,0.0002556718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004274042,"about_ca_system_score_gemma":0.0006013002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008505324,"about_ca_topic_score_gemma":0.001362748,"domain_scores_codex":[0.999359,0.0002608195,0.00002240486,0.0001162283,0.0001936508,0.00004789811],"domain_scores_gemma":[0.9960629,0.002743082,0.0005450689,0.0002335346,0.0001361976,0.0002792643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001579733,0.003953915,0.1120589,0.001208128,0.0001461054,0.002941501,0.03545216,0.00579015,0.3180143,0.1637126,0.006107483,0.349035],"study_design_scores_gemma":[0.0004336604,0.00527061,0.4503865,0.0005458776,0.0004423373,0.003076955,0.01720623,0.02017896,0.1734778,0.2739898,0.05474988,0.0002414051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840519,0.0004829369,0.001409438,0.001578648,0.00001876592,0.000008527281,0.00001899687,0.00002237985,0.0124083],"genre_scores_gemma":[0.9924603,0.0005542592,0.00425616,0.0003784239,0.00001069769,0.00001808228,0.00002033794,0.00003042751,0.00227147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001868816,"threshold_uncertainty_score":0.007125139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06676112525954696,"score_gpt":0.4775854592800384,"score_spread":0.4108243340204915,"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."}}