{"id":"W6992612899","doi":"","title":"2014 Made in Monmouth","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Quarter (Canadian coin); Government (linguistics); 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":[],"category_scores_codex":[0.0006753954,0.0007161433,0.0004100329,0.001168816,0.003046579,0.003726461,0.0009547445,0.00143497,0.6814017],"category_scores_gemma":[0.002398873,0.0004181927,0.0006915304,0.001006133,0.0004914627,0.002043106,0.003609681,0.001929268,0.3679793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024372,"about_ca_system_score_gemma":0.003457512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07125542,"about_ca_topic_score_gemma":0.2672315,"domain_scores_codex":[0.9994289,0.00003691157,0.00001999689,0.00004865896,0.0002574533,0.0002080382],"domain_scores_gemma":[0.9989478,0.00003977194,0.0000307968,0.00008613799,0.0003632515,0.0005322761],"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":[0.00005245056,0.00001507706,0.0001991673,0.00004683665,0.000002151412,0.00007848945,0.00003207541,0.00001760862,0.000161673,0.0006473284,0.987608,0.01113913],"study_design_scores_gemma":[0.000006696681,0.00001858397,0.002133875,0.00002801552,0.000001733764,0.00002183446,0.0001109973,0.000020705,0.0001531202,0.0001711886,0.9973258,0.00000743493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003275018,0.0005896342,0.0004419963,0.004738099,0.01167975,0.0002187268,0.02990869,0.002555858,0.9465922],"genre_scores_gemma":[0.003053979,0.0001309304,0.0002212667,0.0004525617,0.0002033779,0.00003081648,0.005162843,0.0004756599,0.9902686],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6814017,"threshold_uncertainty_score":0.4544418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00313174388056051,"score_gpt":0.1580888488266326,"score_spread":0.1549571049460721,"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."}}