{"id":"W7071302705","doi":"","title":"Start Something to Live For","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Shut down; Optimism; Fish <Actinopterygii>","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":[0.0006776726,0.0008423369,0.0003956523,0.0008077322,0.005692003,0.004361966,0.0007343804,0.001526991,0.4723296],"category_scores_gemma":[0.002244091,0.0003411841,0.0006155859,0.0006788656,0.001046044,0.005456011,0.006187707,0.003579064,0.3740318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008279427,"about_ca_system_score_gemma":0.001498619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877547,"about_ca_topic_score_gemma":0.02150125,"domain_scores_codex":[0.9994988,0.00008440737,0.00001199178,0.00009245112,0.0001402706,0.0001720042],"domain_scores_gemma":[0.9986411,0.00007023932,0.00004383667,0.00009833759,0.0003447459,0.0008018319],"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":[0.000009005617,0.00001312826,0.0000806727,0.00002278646,0.000001127256,0.00003455563,0.00030474,0.000004430994,0.00005755314,0.001919481,0.9740336,0.02351893],"study_design_scores_gemma":[0.000001004345,0.000004296287,0.0001073788,0.00002115239,6.326716e-7,0.00003264576,0.0003933696,0.000003008229,0.00002018834,0.0002357802,0.9991785,0.000002143434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001296315,0.003217816,0.001375631,0.02569036,0.01766518,0.00008219139,0.001256058,0.001476277,0.9479401],"genre_scores_gemma":[0.002423002,0.0007828176,0.0005870065,0.003619234,0.0005264473,0.00002632821,0.0003617707,0.0004777899,0.9911956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4723296,"threshold_uncertainty_score":0.7526578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005706048355217066,"score_gpt":0.207471445288493,"score_spread":0.2017653969332759,"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."}}