{"id":"W2787016146","doi":"","title":"Rainfall attractors and predictability","year":2013,"lang":"en","type":"article","venue":"36th Conference on Radar Meteorology (16-20 September, 2013)","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Predictability; Attractor; Climatology; Mathematics; Environmental science; Econometrics; Computer science; Statistics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0008111345,0.0003446488,0.0004941504,0.0001815661,0.0002450896,0.0001336257,0.000358801,0.0002431805,0.05587844],"category_scores_gemma":[0.0001410804,0.0002764383,0.0001281709,0.0002243104,0.0003791286,0.0005195637,0.00002597255,0.0003562228,0.002407653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000197444,"about_ca_system_score_gemma":0.00009995981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657318,"about_ca_topic_score_gemma":0.01226647,"domain_scores_codex":[0.9973308,0.0004796491,0.0004810216,0.0006699123,0.0004640532,0.0005745987],"domain_scores_gemma":[0.9983617,0.0003928792,0.0002210692,0.0004412982,0.0002089263,0.0003741471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009551043,0.00008264931,0.906607,0.00003533841,0.0002186656,0.00000403143,0.0003435908,0.00006601289,0.000747462,0.0004465726,0.04384415,0.04750905],"study_design_scores_gemma":[0.001318851,0.000722555,0.9379615,0.00003218912,0.0001822429,0.00001287301,0.0005028252,0.007351357,0.000294019,0.01245002,0.03843562,0.0007359431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935162,0.000608482,0.0005194274,0.002340751,0.0005217912,0.0005008922,0.00008719472,0.000134411,0.1017709],"genre_scores_gemma":[0.9941492,0.0001180079,0.000902343,0.001016008,0.0001150286,0.00001320408,0.0002306354,0.000008242423,0.003447349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100633,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066199986499975,"score_gpt":0.2335256468251767,"score_spread":0.2028636469601769,"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."}}