{"id":"W7068522700","doi":"","title":"CBCR 3 2011 04 01","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musical; Ridiculous; Feature (linguistics); Staring","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":[0.002015102,0.001043665,0.001085356,0.003243243,0.00266339,0.01463376,0.002315036,0.005029912,0.853964],"category_scores_gemma":[0.005128575,0.0007879009,0.00109558,0.002670672,0.00110681,0.003487033,0.004080548,0.002944042,0.8993286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003808436,"about_ca_system_score_gemma":0.004259256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650548,"about_ca_topic_score_gemma":0.02343916,"domain_scores_codex":[0.9984953,0.0001670784,0.00009365808,0.0003289538,0.0006530819,0.0002617965],"domain_scores_gemma":[0.9965633,0.0002846684,0.00009679473,0.0007587987,0.001523589,0.0007729062],"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":[0.00003545462,0.00003318011,0.00009884348,0.0001440359,0.000004570619,0.00004446306,0.00003613267,0.00005495962,0.0003856781,0.005589799,0.925301,0.06827191],"study_design_scores_gemma":[0.000004542091,0.000007325235,0.0001406272,0.00007211093,0.000002810872,0.00003468795,0.00002464731,0.00002878418,0.00009792255,0.0005545085,0.9990269,0.000005120836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002772754,0.0008316223,0.001810045,0.003288308,0.003318188,0.0001132705,0.005388321,0.003602858,0.9813702],"genre_scores_gemma":[0.0007491515,0.0004654168,0.0005686442,0.0006422389,0.0001925685,0.00003102299,0.003596618,0.0006415643,0.9931127],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.146036,"threshold_uncertainty_score":0.2083026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327034095112248,"score_gpt":0.2480619678389563,"score_spread":0.2153585583277315,"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."}}