{"id":"W2516850201","doi":"10.20982/tqmp.02.2.p066","title":"Human learning: Power laws or multiple characteristic time scales?","year":2006,"lang":"en","type":"article","venue":"Tutorials in Quantitative Methods for Psychology","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Law; Mathematics; Political science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002755444,0.0005250783,0.000942717,0.001099779,0.0003458241,0.002713902,0.001602206,0.001648303,0.004722623],"category_scores_gemma":[0.02066177,0.0005386401,0.0005273331,0.0009448504,0.007478751,0.01025379,0.001280653,0.002747868,0.0006388717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035589,"about_ca_system_score_gemma":0.0003534922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000975218,"about_ca_topic_score_gemma":0.0005675591,"domain_scores_codex":[0.9990265,0.0002520444,0.00004709346,0.0003037946,0.0002701884,0.0001004006],"domain_scores_gemma":[0.9916939,0.00620502,0.0007752811,0.0008466453,0.0002738264,0.0002053092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003942107,0.00003339677,0.001964535,0.0002209128,0.00004595443,0.0001144032,0.001267312,0.006446496,0.001168544,0.9446034,0.002110031,0.04198561],"study_design_scores_gemma":[0.00000589821,0.0000151975,0.001264242,0.00002106851,0.000005671399,0.00006215613,0.00009381001,0.01087996,0.0001725249,0.9848755,0.002589898,0.00001418948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1032578,0.01637989,0.8176863,0.01701139,0.0003800409,0.00008708856,0.0002195717,0.0007956133,0.04418235],"genre_scores_gemma":[0.9355427,0.006404978,0.05014716,0.001702681,0.0007197283,0.0001985404,0.0000886555,0.0001808096,0.005014798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004722623,"threshold_uncertainty_score":0.01579875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2507900961581805,"score_gpt":0.5816691372500732,"score_spread":0.3308790410918927,"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."}}