{"id":"W2725996824","doi":"","title":"Letter to Seneca","year":2009,"lang":"en","type":"letter","venue":"Divergent/Convergent","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0005771351,0.002114009,0.001683683,0.001343742,0.0003956341,0.0002683575,0.002455048,0.002091616,0.02494936],"category_scores_gemma":[0.0001541864,0.002189714,0.00137883,0.001252963,0.0001406942,0.0003096991,0.0009856909,0.003832995,0.2875603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451335,"about_ca_system_score_gemma":0.0002468819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003506624,"about_ca_topic_score_gemma":0.0000413187,"domain_scores_codex":[0.9890932,0.0005611576,0.001487987,0.002789301,0.003061162,0.003007171],"domain_scores_gemma":[0.9948336,0.0001055466,0.0006496214,0.003004127,0.0004864896,0.0009205419],"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":[0.00007137411,0.0001524823,0.0007662701,0.000136806,0.0005451319,0.003049079,0.0003286769,0.00004007839,0.001399186,0.00001909898,0.9928384,0.0006533754],"study_design_scores_gemma":[0.0007772943,0.0002407173,0.001417323,0.0001598486,0.0004202716,0.00003599268,0.000008674944,0.0000211629,0.002630683,0.0001224024,0.9915931,0.002572574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002830444,0.0006323464,0.000174858,0.9625254,0.01661915,0.002768869,0.00258713,0.001561178,0.01030063],"genre_scores_gemma":[0.001118317,0.00007783582,0.0004811408,0.9170792,0.0221128,0.0002465082,0.003231373,0.0007746905,0.05487821],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2626109,"threshold_uncertainty_score":0.9992039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561427443659268,"score_gpt":0.2493386237463002,"score_spread":0.2237243493097075,"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."}}