{"id":"W4401880791","doi":"10.5194/gmd-2024-58-ac6","title":"Reply on RC2","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001982136,0.000851166,0.0009480259,0.001002674,0.002446619,0.003978561,0.003062399,0.02097578,0.1766286],"category_scores_gemma":[0.02274871,0.0005405971,0.001405277,0.0007997277,0.001867792,0.003834944,0.00255825,0.0200582,0.1391149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673754,"about_ca_system_score_gemma":0.002705748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006998356,"about_ca_topic_score_gemma":0.007871811,"domain_scores_codex":[0.9981274,0.0003130855,0.000204132,0.0003665107,0.0006897753,0.0002990502],"domain_scores_gemma":[0.9949753,0.001492754,0.0002047816,0.0003938405,0.002114341,0.0008188881],"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":[0.000007498042,0.000002886215,0.00002856596,0.0000132316,0.000001303532,0.00005633236,0.000008267415,0.000004481711,0.00001879695,0.0002732956,0.9973726,0.002212703],"study_design_scores_gemma":[0.00000761562,0.000005579762,0.0001392848,0.00004660611,0.000002086554,0.00007162012,0.00004910442,0.00001970438,0.00005526347,0.000433017,0.9991628,0.000007469945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002427718,0.001761185,0.0003118711,0.6943097,0.2639004,0.0001129415,0.0007457615,0.0005597958,0.03805569],"genre_scores_gemma":[0.002405036,0.001119507,0.0002647979,0.7607605,0.07460088,0.0001661742,0.0003041553,0.0003178096,0.1600612],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8233714,"threshold_uncertainty_score":0.5908816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06538174524723528,"score_gpt":0.3919166518461711,"score_spread":0.3265349065989359,"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."}}