{"id":"W4304734129","doi":"10.18732/hssa89","title":"Seasons in Ancient Indian Medicine","year":2022,"lang":"en","type":"article","venue":"History of Science in South Asia","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Austrian Science Fund","keywords":"Wet season; Frost (temperature); Winter season; Order (exchange); Climatology; Geography; Ecology; Meteorology; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001175767,0.00008579028,0.000265255,0.0007855294,0.0001094718,6.316573e-7,0.0002385438,0.000003935783,0.001218015],"category_scores_gemma":[0.00024762,0.00007498307,0.00002627201,0.0009590652,0.00221014,0.00005956213,0.0001667072,0.0002346062,0.000002828517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551035,"about_ca_system_score_gemma":0.0005368243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001802273,"about_ca_topic_score_gemma":0.00008088008,"domain_scores_codex":[0.9983898,0.000040705,0.0002496737,0.0002801577,0.0007725533,0.0002670821],"domain_scores_gemma":[0.9995293,0.00003948661,0.00009890775,0.0001869496,0.00004445985,0.0001008938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007668795,0.0001628762,0.8660946,0.00004146989,0.000003891684,0.0002328367,0.1221969,0.00003135708,0.004396094,0.0003056936,0.003662129,0.002795361],"study_design_scores_gemma":[0.002082135,0.0009177717,0.8112075,0.0001486968,0.0000118775,0.00002931296,0.08858168,0.0001248159,0.00006429847,0.00004748481,0.09667947,0.0001049034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806137,0.001374142,0.000004399146,0.0009988945,0.001083928,0.0002285127,0.0000063269,0.000009311947,0.01568076],"genre_scores_gemma":[0.9981462,0.000004990052,0.00009754245,0.0003716508,0.00005718408,0.00002997184,0.00000323472,0.000004109688,0.001285058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09301735,"threshold_uncertainty_score":0.999695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788888208108637,"score_gpt":0.3135438904381332,"score_spread":0.2556550083570469,"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."}}