{"id":"W6931157001","doi":"10.5281/zenodo.4620569","title":"VERIES CITIES OF ANCIENT INDIA : AN ANALYTICAL SURVEY","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indus; EPIC; Civilization; Period (music); Metropolitan area; Quarter (Canadian coin); Excavation; South asia","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":[],"consensus_categories":[],"category_scores_codex":[0.0002426811,0.0002496275,0.0001952717,0.00735334,0.001927597,0.00219644,0.000621045,0.0002599335,0.003328539],"category_scores_gemma":[0.0007195642,0.0003435348,0.0002700764,0.01129945,0.001282801,0.0005361558,0.001843733,0.0003121232,0.0006555323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515647,"about_ca_system_score_gemma":0.001470221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03296357,"about_ca_topic_score_gemma":0.06928039,"domain_scores_codex":[0.9996591,0.0000569331,0.0000273272,0.00004337686,0.0001018061,0.0001115536],"domain_scores_gemma":[0.9995227,0.00013066,0.0001387988,0.00004289596,0.0001086357,0.00005625194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001676036,0.0001618989,0.6737864,0.001288621,0.0001049048,0.003004472,0.1895067,0.0006310845,0.002556669,0.01121092,0.009546986,0.1080338],"study_design_scores_gemma":[0.000002456618,0.0000368707,0.8231979,0.00007496408,0.00003488153,0.001215963,0.1406665,0.0001607725,0.000368098,0.0003289252,0.03389131,0.00002126096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776199,0.001039913,0.0001588037,0.0001930945,0.000009786556,0.00003899037,0.00124306,0.00001851491,0.01967787],"genre_scores_gemma":[0.9916203,0.002031812,0.0003779504,0.00008699766,0.00001782464,0.00005300178,0.001270756,0.0000132598,0.004528064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03296357,"threshold_uncertainty_score":0.06554341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09886501050931674,"score_gpt":0.2697692800694179,"score_spread":0.1709042695601012,"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."}}