{"id":"W4281264123","doi":"10.5194/acp-2022-246-rc2","title":"Comment on acp-2022-246","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GHGSat (Canada)","funders":"","keywords":"Remote sensing; Environmental science; Satellite; Hyperspectral imaging; Flux (metallurgy); Multispectral image; Methane; Meteorology; Computer science; Geography; Engineering","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":[0.002484839,0.00114258,0.00113868,0.001222962,0.003714683,0.005782135,0.003315358,0.03272145,0.2327071],"category_scores_gemma":[0.01674728,0.0006064791,0.002096328,0.001747367,0.001899413,0.003395325,0.001961334,0.01827721,0.223928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004166181,"about_ca_system_score_gemma":0.005557201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04176992,"about_ca_topic_score_gemma":0.03904145,"domain_scores_codex":[0.9975156,0.0001744304,0.0001915915,0.0002988409,0.001283454,0.0005362383],"domain_scores_gemma":[0.9941299,0.001262128,0.0002509998,0.0004918279,0.003130133,0.0007349682],"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":[0.00001645983,0.000007911144,0.0000359839,0.00002673176,0.00000134694,0.00004239927,0.00000627077,0.000008362234,0.00004173425,0.0005163139,0.9973019,0.001994444],"study_design_scores_gemma":[0.00001773507,0.000009586843,0.0004149845,0.00005964946,0.000002423048,0.00001815649,0.00002509745,0.00003112316,0.00006688609,0.0005065845,0.9988379,0.000009859706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005006971,0.001430106,0.0006227515,0.4087988,0.296342,0.0006849627,0.00983236,0.002781778,0.2790066],"genre_scores_gemma":[0.002605412,0.000756212,0.0004513245,0.5376949,0.04305653,0.0006557602,0.002369776,0.0006639591,0.4117461],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2327071,"threshold_uncertainty_score":0.7784828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380285038651629,"score_gpt":0.2426508522704906,"score_spread":0.2288480018839743,"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."}}