{"id":"W6991524277","doi":"","title":"Gormley - David Marit - July 18th, 2023","year":2023,"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":"Government (linguistics); Joins; Agriculture; Work (physics)","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":[0.0004044423,0.0005824749,0.0003285792,0.0006145252,0.002207019,0.002914764,0.0006599859,0.001696133,0.665629],"category_scores_gemma":[0.001418007,0.0003968439,0.0002422021,0.0007342743,0.0003217569,0.001502391,0.001683647,0.002051193,0.5073726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739954,"about_ca_system_score_gemma":0.002683158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09648599,"about_ca_topic_score_gemma":0.3435375,"domain_scores_codex":[0.999694,0.00001944252,0.000007232688,0.0000372425,0.0001440099,0.00009811024],"domain_scores_gemma":[0.9991122,0.00004276384,0.00002164039,0.00003877483,0.0004305154,0.0003540248],"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":[0.00000674707,0.00000542525,0.00004758223,0.00001156604,2.340504e-7,0.00001166403,0.00001019934,0.000006034415,0.00002925678,0.0002546771,0.9947187,0.004897897],"study_design_scores_gemma":[0.000002198199,0.000002487714,0.000275235,0.00001439274,2.59252e-7,0.000006636638,0.0000332071,0.000007356037,0.00002431073,0.00005142774,0.9995806,0.000001769599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005774185,0.0006442986,0.0001817002,0.004996201,0.003059528,0.0001316123,0.005821219,0.0008057797,0.9837822],"genre_scores_gemma":[0.0004613393,0.0001058463,0.00003280771,0.0006483731,0.00004008804,0.00001006143,0.0005168673,0.00008606468,0.9980986],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.334371,"threshold_uncertainty_score":0.4769397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008321509799991066,"score_gpt":0.1989238399404133,"score_spread":0.1906023301404222,"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."}}