{"id":"W4214896941","doi":"10.1080/00431672.2010.490172","title":"Weatherwatch","year":2010,"lang":"en","type":"article","venue":"Weatherwise","topic":"Digital Innovation in Industries","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Environmental science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001688773,0.0001254893,0.00009760208,0.0001373477,0.00009789613,0.0004311902,0.0002572688,0.00008712318,0.002705352],"category_scores_gemma":[0.0001230963,0.0001115582,0.00004406844,0.0004753291,0.00008563531,0.001171748,0.00008872784,0.0002227568,0.004096693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006563364,"about_ca_system_score_gemma":0.00001452837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009100014,"about_ca_topic_score_gemma":0.00004089601,"domain_scores_codex":[0.999263,0.000001220432,0.0001731806,0.0001830077,0.0001742536,0.0002053699],"domain_scores_gemma":[0.9994403,0.00001846698,0.00009184981,0.0003002292,0.0001406833,0.000008479459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001514207,0.0001293738,0.03096642,0.00002371378,0.00001836314,0.00001056203,0.00004320043,0.000004023735,0.01041478,0.8164915,0.1074161,0.03446677],"study_design_scores_gemma":[0.0002054183,0.00000258957,0.003261131,0.000006817947,0.000007278877,0.000002290817,0.00007549009,0.0001059953,0.0006160126,0.02009945,0.9754435,0.0001740013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4336043,0.00000469744,0.000109883,0.001866528,0.0009078701,0.000100499,0.00000165034,0.000276971,0.5631276],"genre_scores_gemma":[0.9825644,3.305879e-7,0.0002219966,0.002293324,0.001903715,0.00002086276,0.00001175701,0.00003319685,0.01295041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8680274,"threshold_uncertainty_score":0.9982063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439681884724241,"score_gpt":0.2118482623735294,"score_spread":0.197451443526287,"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."}}