{"id":"W7062179335","doi":"","title":"Toronto Today's Think Tank - Episode 02","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Subject (documents); Perspective (graphical); Agency (philosophy)","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":[0.00009943511,0.0003907519,0.0004074316,0.00006879038,0.00004345715,0.00003931051,0.0003926498,0.0005842226,0.2413608],"category_scores_gemma":[0.0001115912,0.0004142412,0.0001229788,0.000009557908,0.00008365435,4.862679e-7,0.00008697021,0.0002635792,0.01715739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694647,"about_ca_system_score_gemma":0.000009828989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133472,"about_ca_topic_score_gemma":0.01788179,"domain_scores_codex":[0.9985827,0.00001789026,0.0005645715,0.0001788857,0.0003245577,0.0003313551],"domain_scores_gemma":[0.9990295,0.00007192828,0.0002230363,0.0005364602,0.00006723229,0.00007181289],"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":[0.00000578662,0.000006760749,3.892461e-7,0.0002517058,0.00006711006,0.00000885817,0.00008696457,0.007917041,8.365231e-7,0.00009643932,0.9869327,0.004625421],"study_design_scores_gemma":[0.0002100346,0.00004550421,0.000001603229,0.0001487845,0.00002324346,0.00001384535,0.0001426117,0.0002438316,0.00009531767,0.00003028885,0.9986286,0.0004163035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005020652,0.00164395,0.00001735154,0.00007042297,0.0009181348,0.0003553694,0.0001657078,0.005577187,0.9912469],"genre_scores_gemma":[0.0001574379,0.002038496,0.00485308,0.00007075931,0.0001383703,0.00003435335,0.00009837603,0.0004791255,0.99213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2242034,"threshold_uncertainty_score":0.999831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004853271787071714,"score_gpt":0.1818134491832105,"score_spread":0.1769601773961388,"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."}}