{"id":"W1580536567","doi":"","title":"Learning to Learn","year":2014,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009921502,0.0001164972,0.0001348229,0.00008231792,0.000781082,0.00007849201,0.0002859976,0.00006659318,0.008205224],"category_scores_gemma":[0.000952272,0.000121305,0.00007984434,0.0003059695,0.00007776017,0.0001030353,0.0001007772,0.0001603332,0.005767096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535059,"about_ca_system_score_gemma":0.0001220786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004739485,"about_ca_topic_score_gemma":0.0001214344,"domain_scores_codex":[0.9982008,0.0002849632,0.0002055634,0.0002919534,0.000556056,0.0004606323],"domain_scores_gemma":[0.9990702,0.00008678917,0.00003793498,0.0001498553,0.0001451444,0.0005100331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002762398,0.0003498727,0.2060538,0.00003668219,0.00008249356,0.000005291047,0.1429298,0.0001341961,0.00054812,0.5245275,0.05037268,0.07493189],"study_design_scores_gemma":[0.0001113909,0.00004976631,0.01285989,0.00001384848,0.000008221326,1.690702e-7,0.004983149,0.00002360898,0.0002648573,0.002057472,0.9794315,0.0001961433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.761031,0.00007162103,0.003303371,0.02816788,0.007974078,0.0004775869,0.000001929239,0.0005106097,0.1984619],"genre_scores_gemma":[0.9594393,0.00009737474,0.00091068,0.003179558,0.0003456798,0.00002790902,0.000007350146,0.0000138182,0.03597832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9290588,"threshold_uncertainty_score":0.995007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765490443681684,"score_gpt":0.3130019232936936,"score_spread":0.2853470188568767,"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."}}