{"id":"W7015345609","doi":"","title":"The Richard Syrett Show, April 3rd, 2024","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Climate change; Cult; State (computer science); Carbon tax","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006795258,0.0007996073,0.0003190335,0.0006236733,0.007113174,0.005399159,0.0006114248,0.00271095,0.379389],"category_scores_gemma":[0.001788052,0.0004011952,0.0004408674,0.0005977121,0.0008559353,0.002328758,0.002326081,0.004368403,0.1905706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853206,"about_ca_system_score_gemma":0.002643852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06532305,"about_ca_topic_score_gemma":0.2439208,"domain_scores_codex":[0.9994436,0.00004981508,0.000009335985,0.00006412048,0.0002185251,0.0002147164],"domain_scores_gemma":[0.9992816,0.00004246431,0.00002215353,0.00003910176,0.0002514684,0.0003632569],"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":[0.00001218984,0.000005786695,0.00006542003,0.000009385149,8.134568e-7,0.00003554306,0.00006937941,0.000005393998,0.0000596688,0.000976457,0.9953671,0.003392947],"study_design_scores_gemma":[0.000001722332,0.000003396718,0.0002747474,0.00001553683,7.50869e-7,0.00001187626,0.0002013385,0.000007122254,0.00004805182,0.00007338965,0.9993594,0.000002741198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002366874,0.00429426,0.0004469981,0.05010904,0.03095186,0.00009862755,0.002541738,0.001190315,0.9080003],"genre_scores_gemma":[0.003143656,0.0005864856,0.00009726433,0.003044061,0.0008189937,0.00001576754,0.0004360958,0.0001911294,0.9916665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6206111,"threshold_uncertainty_score":0.8852263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006832243614341356,"score_gpt":0.1972463920490727,"score_spread":0.1904141484347313,"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."}}