{"id":"W7034579412","doi":"","title":"Weather Smart: a weather analysis tool from IRC","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather forecasting; Moisture; Boundary (topology); Envelope (radar); Numerical weather prediction; Weather station","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007878515,0.000183166,0.0003643794,0.0001105467,0.0002035427,0.0003842615,0.0001898553,0.00004861812,0.4731657],"category_scores_gemma":[0.00001399313,0.0001360737,0.0003448791,0.0001312625,0.00009771085,0.0001819707,0.00004574108,0.00007024844,0.002498099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003189682,"about_ca_system_score_gemma":0.000002409217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095939,"about_ca_topic_score_gemma":0.003375638,"domain_scores_codex":[0.998905,0.0000588454,0.0002713617,0.0002955,0.0002287648,0.0002405133],"domain_scores_gemma":[0.9993827,0.00003550218,0.00008084912,0.0003758812,0.00006913452,0.00005589978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001378233,0.001389951,0.01340643,0.0000762451,0.01893709,0.0002147593,0.2871752,0.00006893232,0.1479613,0.1891137,0.263369,0.07814951],"study_design_scores_gemma":[0.0005592448,0.00005821703,0.001797255,0.00002151826,0.00304851,0.000001001704,0.004476287,0.003981815,0.0009195941,0.008994576,0.9753818,0.0007601851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6740812,0.0001404079,0.00002200326,0.0006229121,0.000183009,0.00007996435,0.0001382965,0.0001149717,0.3246173],"genre_scores_gemma":[0.8939584,0.00002415204,0.0002703038,0.0003303045,0.0006080287,0.00002028451,0.00003786234,0.00002169523,0.104729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7120128,"threshold_uncertainty_score":0.9982786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452462667211901,"score_gpt":0.2053540442769701,"score_spread":0.1708294176048511,"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."}}