{"id":"W2127344987","doi":"10.1017/s1355617709090791","title":"Compensating for anterograde amnesia: A new training method that capitalizes on emerging smartphone technologies","year":2009,"lang":"en","type":"article","venue":"Journal of the International Neuropsychological Society","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Memory impairment; Recall; Cognitive psychology; Psychology; Memory errors; Explicit memory; Implicit memory; Amnesia; Prospective memory; Episodic memory; Computer science; Neuroscience; Cognition","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":[],"consensus_categories":[],"category_scores_codex":[0.0006237698,0.0001810618,0.000272662,0.00007289652,0.0001896213,0.0000718454,0.0007096869,0.0001296708,0.0001788926],"category_scores_gemma":[0.0004135434,0.0001109533,0.0007844582,0.0001616191,0.00008634599,0.00009587582,0.0000580147,0.0006208141,0.0000080025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005740978,"about_ca_system_score_gemma":0.00002282709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003457095,"about_ca_topic_score_gemma":7.604773e-7,"domain_scores_codex":[0.9985314,0.000114539,0.000449083,0.0002704746,0.0003689311,0.0002655782],"domain_scores_gemma":[0.9984994,0.0005186123,0.0005541153,0.0001926964,0.000174256,0.00006092767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001635748,0.001101004,0.002847752,0.00000595462,0.0007576589,0.00008584504,0.005280087,0.0001956189,0.03488731,0.01069045,0.1240979,0.8184147],"study_design_scores_gemma":[0.00991824,0.004944351,0.7254789,0.0003151729,0.0002736621,0.002975401,0.02645816,0.000685179,0.003621966,0.05893228,0.1656281,0.0007686474],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506234,0.0002918205,0.07154997,0.06439134,0.006566294,0.0003649449,0.00001932493,0.0001425973,0.006050359],"genre_scores_gemma":[0.977432,0.0000432537,0.01379717,0.007005807,0.0006510068,0.000006936576,0.000001821529,0.00001481465,0.001047234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.817646,"threshold_uncertainty_score":0.4524545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09489231547324718,"score_gpt":0.3840998279084747,"score_spread":0.2892075124352275,"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."}}