{"id":"W4400990356","doi":"10.69645/mwsp8602","title":"Attention","year":2010,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business","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":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.003032271,0.0001827019,0.0001787316,0.0004278851,0.002462111,0.0002057045,0.0009717038,0.0001631236,0.002085719],"category_scores_gemma":[0.0007427951,0.0001154288,0.0001302867,0.006322656,0.004169853,0.0003360384,0.0001587187,0.0006110732,0.005196297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007520615,"about_ca_system_score_gemma":0.0007458342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002923339,"about_ca_topic_score_gemma":0.0009324762,"domain_scores_codex":[0.9965804,0.0001757689,0.000400781,0.0005604308,0.001678737,0.0006039118],"domain_scores_gemma":[0.9985321,0.0002910512,0.0001676521,0.0003840462,0.0001444378,0.0004807649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000053934,0.0004966199,0.009723688,0.00001009882,0.00004710462,0.000006677956,0.0003757264,0.0000176773,0.1183663,0.003995811,0.8626132,0.004293154],"study_design_scores_gemma":[0.001174032,0.0004851589,0.06632537,0.00001984191,0.00005882629,0.0002000589,0.0007064699,0.02706527,0.0003094054,0.005607152,0.8975508,0.0004975909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990636,0.000179288,0.004834866,0.01729698,0.01639539,0.001112606,0.0000466957,0.001131019,0.05993957],"genre_scores_gemma":[0.9897193,0.000005738526,0.001061718,0.0008084964,0.001074809,0.00007398796,0.000008783159,0.00002492715,0.0072222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1180569,"threshold_uncertainty_score":0.9988366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870879811759422,"score_gpt":0.287806502891536,"score_spread":0.2690977047739418,"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."}}