{"id":"W6930169402","doi":"10.5281/zenodo.10672637","title":"Bouamir Weather Station Data","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Weather station; Automatic weather station; Surface weather observation; Raw data; Weather forecasting; Christian ministry; National weather service; Weather modification","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008017061,0.001314066,0.001176982,0.003489023,0.0007550699,0.001273506,0.001478152,0.0008249316,0.03749392],"category_scores_gemma":[0.003697475,0.0003896809,0.0004611832,0.005921226,0.0002589288,0.0008570408,0.001029077,0.001168953,0.0533171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103495,"about_ca_system_score_gemma":0.00165544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03760248,"about_ca_topic_score_gemma":0.04628331,"domain_scores_codex":[0.9992556,0.000128917,0.00007890571,0.000256318,0.000179366,0.0001009055],"domain_scores_gemma":[0.9988552,0.0002043713,0.0001646504,0.0002568495,0.0004335408,0.00008532895],"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":[0.0001133386,0.00002498855,0.002805496,0.0006818856,0.00004269465,0.00005552376,0.00005399257,0.0007455705,0.0002810963,0.001057865,0.9881526,0.005985071],"study_design_scores_gemma":[0.00005960892,0.000006757039,0.008916073,0.0002518387,0.0000194023,0.00004779102,0.00008722416,0.0005031902,0.000365477,0.0007961461,0.9889131,0.00003341596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003702399,0.000103438,0.00009831599,0.00004314049,0.00001940187,0.0000102153,0.9978002,0.0003290557,0.001225929],"genre_scores_gemma":[0.00144475,0.00007837753,0.0005165387,0.00002478198,0.000007070897,0.00008346063,0.9968052,0.0001031651,0.0009366099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03760248,"threshold_uncertainty_score":0.1254296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457528812625763,"score_gpt":0.2776720859783399,"score_spread":0.2430967978520822,"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."}}