{"id":"W4386531900","doi":"10.5194/egusphere-2023-1730-rc1","title":"Comment on egusphere-2023-1730","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Biodiversity; Process (computing); Political science; Politics; International community; Public relations; Environmental resource management; Business; Sociology; Computer science; Ecology; Environmental science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005782903,0.0008575526,0.001049057,0.001596953,0.005391838,0.004883823,0.003499828,0.04202189,0.1732408],"category_scores_gemma":[0.04092641,0.0006693903,0.001504751,0.001613652,0.00247475,0.004389345,0.003051105,0.01634276,0.1122873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00538758,"about_ca_system_score_gemma":0.006923176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04854736,"about_ca_topic_score_gemma":0.07120484,"domain_scores_codex":[0.99554,0.0004308217,0.0004309088,0.0004413024,0.002399917,0.0007570501],"domain_scores_gemma":[0.9844195,0.00513473,0.000621915,0.0006578979,0.007268711,0.001897244],"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":[0.00001575966,0.000006995807,0.00006605723,0.00003824865,0.000001237298,0.00009354415,0.00002237587,0.000005081318,0.00004122395,0.0007275349,0.9972398,0.0017421],"study_design_scores_gemma":[0.00001925916,0.000009091729,0.000492796,0.00009543706,0.000002798425,0.00003583231,0.00007457667,0.00002572878,0.00006634979,0.0005938486,0.9985719,0.00001232907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004469925,0.001393212,0.000418341,0.727526,0.147404,0.0004133272,0.002553287,0.001083406,0.1187614],"genre_scores_gemma":[0.001902004,0.0006283412,0.0002428703,0.7561739,0.02130285,0.0002983592,0.0006405337,0.0003771009,0.2184341],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8267592,"threshold_uncertainty_score":0.5795483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0730586052818049,"score_gpt":0.3131140272673653,"score_spread":0.2400554219855603,"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."}}