{"id":"W7028838641","doi":"","title":"Gormley - Earl Scott - June 14th, 2023","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Joins; George (robot); Work (physics); Nesting season","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":[0.0003987236,0.0006551439,0.0003220568,0.000590267,0.00246949,0.002386599,0.0004958828,0.00166775,0.5467636],"category_scores_gemma":[0.001194452,0.0003077343,0.000227408,0.0006303978,0.0003150381,0.001215857,0.001654466,0.001773825,0.3488249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009900026,"about_ca_system_score_gemma":0.001783386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05153907,"about_ca_topic_score_gemma":0.2332039,"domain_scores_codex":[0.9997314,0.00001774423,0.000006752566,0.00003419726,0.000116064,0.00009378698],"domain_scores_gemma":[0.9993207,0.00003260168,0.00001759705,0.00002714041,0.0002842282,0.0003176813],"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":[0.000009157739,0.000007364515,0.00008881204,0.000009926761,2.869548e-7,0.00002001268,0.00001085912,0.000005736502,0.0000346632,0.0002076479,0.9931276,0.006477851],"study_design_scores_gemma":[0.00000322999,0.000006023613,0.0007010153,0.00002118995,3.540304e-7,0.00001128887,0.00005683265,0.00001122674,0.00003712674,0.00005841758,0.9990913,0.000002005342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001193306,0.001762322,0.0002075786,0.009285076,0.009853004,0.0001532019,0.004468,0.0006740111,0.9724035],"genre_scores_gemma":[0.0007987962,0.0001978944,0.00002580521,0.0006435492,0.0001101867,0.00001093184,0.0002773195,0.00005172456,0.9978839],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4532364,"threshold_uncertainty_score":0.6464867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008644181693000788,"score_gpt":0.2280433257532751,"score_spread":0.2193991440602743,"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."}}