{"id":"W2687102603","doi":"","title":"On Modeling Intentions for Prospective Memory Performance","year":2006,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prospective memory; Task (project management); Cognition; Cognitive architecture; Cognitive psychology; Cognitive model; Psychology; Working memory; Function (biology); Scope (computer science); Computer science; Set (abstract data type); Context (archaeology); Cognitive science; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001354961,0.000270881,0.0002141295,0.000242848,0.0002992347,0.0003908556,0.0002137425,0.000135589,0.0009369538],"category_scores_gemma":[0.0001207709,0.0002529316,0.0002358581,0.0003198994,0.00007528619,0.001436849,0.00007187326,0.0003710033,0.00295351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004813057,"about_ca_system_score_gemma":0.00006208815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004211822,"about_ca_topic_score_gemma":0.000001951654,"domain_scores_codex":[0.9983337,0.00003526403,0.0003778295,0.0005467575,0.0002260796,0.0004803939],"domain_scores_gemma":[0.9991623,0.0001735379,0.00008568371,0.0003400465,0.0001127525,0.0001257376],"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":[0.008989201,0.009622033,0.2089981,0.000432039,0.0009139065,0.0001196309,0.0003800808,0.004976275,0.001215652,0.4938472,0.1141029,0.156403],"study_design_scores_gemma":[0.01536554,0.003917238,0.08728772,0.0008743044,0.000366584,0.0001600808,0.001671883,0.01604239,0.008440327,0.6073318,0.2542259,0.004316241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5767189,0.0001050223,0.01316108,0.0001900933,0.0005649687,0.0007426963,0.001928138,0.0003960895,0.4061931],"genre_scores_gemma":[0.9772688,0.000002074495,0.0003313818,0.000399672,0.0004251796,0.0004133371,0.0006889176,0.00008968684,0.020381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4005499,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024040142992222,"score_gpt":0.2437885180165489,"score_spread":0.2235481165866267,"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."}}