{"id":"W6980125945","doi":"","title":"Avance climatológico mensual de Castilla y León. Agosto 2017","year":2017,"lang":"es","type":"other","venue":"Arcimis (State Meteorological Agency)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Qualitative analysis; Period (music)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003336491,0.0004375319,0.0002585215,0.002515293,0.0006292936,0.000890685,0.0003974588,0.0002177538,0.007156199],"category_scores_gemma":[0.001059723,0.0001470816,0.0002131164,0.003085994,0.0001556395,0.0003158621,0.0008156003,0.0004858178,0.001535574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049702,"about_ca_system_score_gemma":0.001371375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2895851,"about_ca_topic_score_gemma":0.4484093,"domain_scores_codex":[0.9998682,0.00002754474,0.000008552368,0.00002496139,0.00003266901,0.0000381368],"domain_scores_gemma":[0.9996783,0.00002587273,0.00005113145,0.00002468581,0.000179825,0.00004020303],"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":[0.0004934141,0.0001224942,0.3944108,0.001660075,0.0002342839,0.0006059104,0.006728816,0.001051817,0.001103741,0.004522965,0.4063627,0.1827029],"study_design_scores_gemma":[0.00002765385,0.00002312925,0.6041563,0.0005299343,0.00004594508,0.0001361809,0.00308091,0.0003745291,0.0003420804,0.000291872,0.3909726,0.00001880382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3945788,0.01472234,0.001496676,0.003758948,0.001908716,0.000308686,0.3516755,0.001690983,0.2298594],"genre_scores_gemma":[0.7209614,0.007311389,0.00566474,0.0003991576,0.0004865756,0.0005661478,0.1409978,0.0004101316,0.1232026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2895851,"threshold_uncertainty_score":0.575799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147347092290468,"score_gpt":0.3147731414261219,"score_spread":0.2632996705032173,"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."}}