{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002247745,0.0003042332,0.0003117606,0.0000716409,0.00005273933,0.00005089413,0.0003536972,0.0004760899,0.09215879],"category_scores_gemma":[0.00039667,0.0003022081,0.0001597895,0.000004849247,0.00005718067,2.189181e-8,0.0001573306,0.0001729363,0.008615532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001826475,"about_ca_system_score_gemma":0.0000337643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119889,"about_ca_topic_score_gemma":0.0004208407,"domain_scores_codex":[0.9987295,0.00003741551,0.0005124451,0.0001889584,0.0002320793,0.0002995806],"domain_scores_gemma":[0.9987645,0.0000445568,0.0004554235,0.0004272425,0.0001757257,0.0001325073],"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":[0.0000514835,0.00001669202,0.000002302427,0.000516426,0.00007647654,4.563906e-7,0.0001335216,0.0003925703,0.00001073441,0.00002709284,0.9972955,0.001476743],"study_design_scores_gemma":[0.0003573083,0.0003905929,0.000002642336,0.0001253611,0.00003092443,0.00001346818,0.0001101202,0.00007352405,0.0001004025,0.000004736916,0.9984503,0.0003405524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008289608,0.0001590723,0.00003877619,0.0001254596,0.000249788,0.0009271789,0.0002622753,0.00006452607,0.99809],"genre_scores_gemma":[0.0001062748,0.000084953,0.02491474,0.0008970634,0.0002640512,0.00006630716,0.0007411562,0.0001450325,0.9727804],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08354326,"threshold_uncertainty_score":0.999943,"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."}}