{"id":"W2049843373","doi":"10.1155/2007/13749","title":"A Philatelic Excursion with Jeff Hunter in Probability and Matrix Theory","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Mathematics and Decision Sciences","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Excursion; Honour; Presentation (obstetrics); Sociology; Mathematical economics; Mathematics; History; Law; Archaeology; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.008377963,0.0001084422,0.0002509078,0.0002838095,0.000125156,0.0002104263,0.0004380806,0.00004234901,0.000005985133],"category_scores_gemma":[0.00007066099,0.000059814,0.00002711622,0.0004784045,0.0002506968,0.0003619528,0.0001524174,0.0001338922,0.000001616304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001207872,"about_ca_system_score_gemma":0.00004506093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.020988e-7,"about_ca_topic_score_gemma":0.000001263779,"domain_scores_codex":[0.9985724,0.000008191569,0.0005068091,0.0002096069,0.000517758,0.000185225],"domain_scores_gemma":[0.9983112,0.001026895,0.0003169989,0.0001650893,0.0000688267,0.0001109869],"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":[0.0001212015,0.0001239344,0.00009126117,0.00003230333,0.000004220197,0.00002313465,0.001800214,0.00006283099,0.0004480159,0.8363401,0.00001104635,0.1609418],"study_design_scores_gemma":[0.0004761442,0.0002300813,0.0006423409,0.0001280375,0.000004688908,0.0002439415,0.0006081485,0.004144572,0.0006908698,0.9926559,0.00007929258,0.00009603899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4799178,0.0001409689,0.5186669,0.00005700497,0.00003599166,0.00007898129,1.269847e-7,0.000004696374,0.001097539],"genre_scores_gemma":[0.3818516,0.00004311759,0.6180426,0.00003766037,0.00001906219,6.404508e-7,1.106396e-8,0.000002294543,0.000002946829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1608457,"threshold_uncertainty_score":0.2903651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999780260734347,"score_gpt":0.2936935858114335,"score_spread":0.27369578320409,"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."}}