{"id":"W2779244542","doi":"10.18732/h2nd44","title":"Garga and Early Astral Science in India","year":2017,"lang":"en","type":"article","venue":"History of Science in South Asia","topic":"Historical Astronomy and Related Studies","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compendium; Relevance (law); Focus (optics); Hinduism; Library science; History; Political science; Philosophy; Law; Archaeology; Physics; Linguistics; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005719856,0.00009485495,0.0001782457,0.000300231,0.0004562662,0.00003251664,0.0005953602,0.00002405386,0.00003265105],"category_scores_gemma":[0.00003626982,0.00008707389,0.00002713827,0.0002389556,0.00758928,0.0005309599,0.0001595532,0.0002060395,0.000008921255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420029,"about_ca_system_score_gemma":0.0005377317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002907273,"about_ca_topic_score_gemma":0.000004249016,"domain_scores_codex":[0.9988383,0.000009807414,0.000206607,0.0003292572,0.0002694908,0.0003465146],"domain_scores_gemma":[0.9994088,0.00001132917,0.000169621,0.0002544501,0.00004779833,0.0001079863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000584087,0.00004200559,0.9758055,0.00000325041,0.000001149042,0.000001873196,0.01597604,0.000006188281,0.0008003351,0.002411593,0.00003820135,0.004908002],"study_design_scores_gemma":[0.0002778959,0.00003473233,0.9953667,0.00003424173,0.000002616215,1.687051e-7,0.001530835,0.00003270166,0.0001212234,0.0002403319,0.00225187,0.0001066769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318475,0.0001471585,0.00002601908,0.00002159027,0.0005958255,0.00007425441,0.000002082342,0.000004128732,0.06728144],"genre_scores_gemma":[0.998524,7.558064e-7,0.0004128776,0.00000245793,0.00003141761,0.000005721337,9.012455e-8,0.00000293615,0.001019785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06667646,"threshold_uncertainty_score":0.9951115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370072740400428,"score_gpt":0.2325075303821767,"score_spread":0.2188068029781725,"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."}}