{"id":"W7040105761","doi":"","title":"Nukes, Storms & Fighting Back","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watson; Whaling; Storm; Fishing; Feature (linguistics)","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":[0.0002194575,0.0007689224,0.000224801,0.0006163459,0.00621823,0.003202232,0.0004482115,0.001826126,0.4399299],"category_scores_gemma":[0.0007712102,0.0003300788,0.0002436425,0.0005398685,0.0005779716,0.001850596,0.001780701,0.002085645,0.2307229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008956839,"about_ca_system_score_gemma":0.0009323246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01730426,"about_ca_topic_score_gemma":0.09494475,"domain_scores_codex":[0.9997908,0.00002011351,0.0000048776,0.00002793689,0.00006225823,0.0000939848],"domain_scores_gemma":[0.9997395,0.00001859926,0.00001718404,0.00001426882,0.00007268217,0.0001377637],"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":[0.00001704312,0.000008160396,0.0001503245,0.00002062053,7.992808e-7,0.00008686237,0.0003246567,0.000009325581,0.0001235854,0.0006165094,0.9801937,0.01844853],"study_design_scores_gemma":[0.000001761606,0.000006120667,0.0004615976,0.00002398979,8.316478e-7,0.0000538064,0.0009063419,0.000008771105,0.00006908338,0.0001079527,0.9983574,0.000002384822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00265043,0.002424999,0.0003250923,0.01070453,0.005880808,0.00004989095,0.001004436,0.000719755,0.9762402],"genre_scores_gemma":[0.004781096,0.0005535856,0.00008827231,0.001705852,0.0002124977,0.00001074819,0.0001929595,0.0001426026,0.9923125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4399299,"threshold_uncertainty_score":0.798872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244464624507052,"score_gpt":0.1921030415418055,"score_spread":0.1796583952967349,"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."}}