{"id":"W4401677739","doi":"10.5194/egusphere-2024-1546-rc2","title":"Comment on egusphere-2024-1546","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geolocation; Remote sensing; Computer science; Environmental science; Geography; World Wide Web","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":[0.003871477,0.0009204421,0.001070047,0.001960104,0.00380001,0.004813027,0.002844001,0.0236905,0.211281],"category_scores_gemma":[0.03457577,0.0005606394,0.001328918,0.001866472,0.001855546,0.003967743,0.002435914,0.01185037,0.1910353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003453071,"about_ca_system_score_gemma":0.004637917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0300229,"about_ca_topic_score_gemma":0.03142253,"domain_scores_codex":[0.9964327,0.0002540358,0.0003463531,0.0003599958,0.002087932,0.0005189822],"domain_scores_gemma":[0.9850567,0.002981163,0.00056384,0.001051315,0.008724318,0.001622601],"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":[0.00000928025,0.000004428147,0.00003473004,0.00002188723,9.100315e-7,0.00003972404,0.000008884883,0.000003679198,0.00002971331,0.0004695592,0.9976507,0.001726416],"study_design_scores_gemma":[0.00000992576,0.000006268055,0.0002968901,0.00005336359,0.000001510484,0.00001806244,0.00003274362,0.00001658649,0.00006603974,0.0003309604,0.9991602,0.000007511573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004163561,0.001113042,0.0005261016,0.5183324,0.3370761,0.0004157243,0.003801997,0.002015011,0.1363032],"genre_scores_gemma":[0.002496187,0.0008710373,0.0004237864,0.4848606,0.05785703,0.000326011,0.001304354,0.0009050922,0.4509559],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.211281,"threshold_uncertainty_score":0.7068052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886653941386204,"score_gpt":0.2737089629361412,"score_spread":0.2548424235222792,"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."}}