{"id":"W6902784054","doi":"10.7302/22530","title":"Glaser, Frederick (Fred) interview conducted by Campbell/Spillane","year":2006,"lang":"en","type":"other","venue":"Deep Blue (University of Michigan)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Substance abuse; Public health; Variety (cybernetics); Service (business); Center (category theory); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.0002118683,0.0008192923,0.001380499,0.0008295976,0.000163839,0.00002862411,0.001524739,0.0008827447,0.00967472],"category_scores_gemma":[0.00002188577,0.001097806,0.0004593022,0.000804043,0.0006780605,0.0001102447,0.0004315551,0.0005891006,0.007005672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572,"about_ca_system_score_gemma":0.0001266758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01137927,"about_ca_topic_score_gemma":0.3862271,"domain_scores_codex":[0.9969704,0.000346053,0.0003415489,0.001025378,0.0006050825,0.000711594],"domain_scores_gemma":[0.9971384,0.0000563194,0.001147021,0.001210182,0.0001577743,0.0002902456],"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":[0.00005636338,0.000272586,0.00002507606,0.0004467281,0.0007392798,0.0001903526,0.004369477,0.000008669973,0.006080064,0.00008393437,0.9869952,0.0007323084],"study_design_scores_gemma":[0.002301761,0.0001079038,0.00005853318,0.000525324,0.000538177,0.00002991779,0.01073964,0.0001021554,0.0002460684,0.00002548639,0.984257,0.001068072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2077087,0.02401113,0.002504876,0.000264696,0.001191451,0.002174572,0.01259838,0.002435899,0.7471103],"genre_scores_gemma":[0.005876431,0.0007384333,0.002724818,0.0001281185,0.0002224438,9.769711e-7,0.00641084,0.001651591,0.9822463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3748479,"threshold_uncertainty_score":0.9991472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00899101031775788,"score_gpt":0.1818005293159806,"score_spread":0.1728095189982227,"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."}}