{"id":"W7031057020","doi":"","title":"3am Mixtape 076","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Favourite; Cave; White (mutation); Cover (algebra)","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":[0.0004991195,0.001128736,0.0008516922,0.001184072,0.001297566,0.004073131,0.001248884,0.001192113,0.9489545],"category_scores_gemma":[0.003328006,0.0006082565,0.0005921397,0.001250498,0.0003705775,0.002284907,0.002917302,0.001693106,0.8862076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007989419,"about_ca_system_score_gemma":0.0006787268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417152,"about_ca_topic_score_gemma":0.01017504,"domain_scores_codex":[0.999642,0.00004579649,0.00001401161,0.00004407361,0.0001897215,0.00006430052],"domain_scores_gemma":[0.9984103,0.0002931213,0.00004430435,0.0001553879,0.0006402436,0.0004566835],"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":[0.00004581022,0.00002303733,0.00003024832,0.00005188904,0.000001044302,0.00001565086,0.00002388723,0.00002217186,0.0001636068,0.000491382,0.9802318,0.01889954],"study_design_scores_gemma":[0.00002042202,0.00002825456,0.0003919376,0.0000512224,0.000001278206,0.00002092039,0.00005863969,0.00007014979,0.0001154819,0.0003293788,0.9989057,0.000006711526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003787039,0.0001742701,0.001083691,0.0004654356,0.001418276,0.0001687754,0.006606994,0.004771573,0.9849324],"genre_scores_gemma":[0.0008022543,0.00008823851,0.0002624583,0.0001898039,0.0002193417,0.00008776533,0.00215557,0.001368883,0.9948257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05104548,"threshold_uncertainty_score":0.07281017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004884406704218166,"score_gpt":0.1573565550327155,"score_spread":0.1524721483284973,"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."}}