{"id":"W2768736612","doi":"","title":"Mixed Effects of Training on Transfer","year":2005,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Visual search; Task (project management); Surprise; Transfer (computing); Psychology; Computer science; Communication; Cognitive psychology; Parallel computing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02339052,0.006028777,0.01002179,0.002267343,0.002313204,0.004672555,0.005519899,0.009780074,0.08154195],"category_scores_gemma":[0.09678472,0.002528915,0.008421873,0.002082729,0.002857861,0.00376325,0.005708426,0.01086041,0.01238645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003428815,"about_ca_system_score_gemma":0.003458889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009315517,"about_ca_topic_score_gemma":0.005537013,"domain_scores_codex":[0.9476483,0.01912808,0.003925572,0.01621695,0.005444003,0.007637047],"domain_scores_gemma":[0.8934281,0.06642381,0.007182559,0.02267019,0.007141768,0.003153533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.467434,0.02030696,0.106156,0.009576277,0.02760715,0.00291476,0.004612007,0.02316537,0.05521515,0.02965342,0.0466511,0.2067078],"study_design_scores_gemma":[0.02293766,0.06093548,0.5690452,0.003258975,0.04218715,0.001515993,0.001887335,0.09214039,0.04816226,0.06260585,0.09312919,0.002194474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.715519,0.009834472,0.1631282,0.003562199,0.01641286,0.01586057,0.03041489,0.007882223,0.03738573],"genre_scores_gemma":[0.8069035,0.001257384,0.04966938,0.002995513,0.001564492,0.03909801,0.00877555,0.003399716,0.08633648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08154195,"threshold_uncertainty_score":0.272785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157141385880893,"score_gpt":0.2664491376075424,"score_spread":0.2348777237487335,"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."}}