{"id":"W2767296883","doi":"","title":"Connectionist Learning and Education: Applications and Challenges","year":2007,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Connectionism; Reading (process); Cognitive science; Computer science; Artificial intelligence; Psychology; Mathematics education; Linguistics; Artificial neural network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00571537,0.0006108502,0.0007685455,0.001222619,0.0007218032,0.005134001,0.001987736,0.003560607,0.01658775],"category_scores_gemma":[0.01332995,0.0004359203,0.0003201996,0.002306107,0.004027278,0.01022701,0.002739709,0.003281679,0.002651615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921532,"about_ca_system_score_gemma":0.001750741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003197101,"about_ca_topic_score_gemma":0.003185716,"domain_scores_codex":[0.9975545,0.001458313,0.00007785857,0.0002747981,0.00051738,0.0001171447],"domain_scores_gemma":[0.9821675,0.01456441,0.0001903097,0.000885433,0.00141209,0.0007802276],"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":[0.00009629664,0.0002255251,0.003555716,0.0007458361,0.00004828643,0.0002372527,0.0009164471,0.0069218,0.000482529,0.4042699,0.02898165,0.5535187],"study_design_scores_gemma":[0.00003863813,0.0001020388,0.001175063,0.0005687467,0.00001176709,0.0003433608,0.001228236,0.02825235,0.000582783,0.8187826,0.1488719,0.00004255926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04051755,0.1522617,0.3293855,0.2409232,0.001815382,0.0002400376,0.0003149204,0.001491728,0.2330501],"genre_scores_gemma":[0.5876475,0.1611,0.2024895,0.006615782,0.004554262,0.0006970973,0.0003249882,0.0003795278,0.03619136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01658775,"threshold_uncertainty_score":0.05549151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870436602653286,"score_gpt":0.2675272635540634,"score_spread":0.2488228975275305,"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."}}