{"id":"W6959012570","doi":"10.7916/consilience.v0i2.4473","title":"India, Water and Sustainable Development","year":2020,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sustainable development; Population; Indian subcontinent; Clean water; Politics; Sustainability","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001576069,0.0001076672,0.000204355,0.00001582521,0.0007094291,0.0001243661,0.0003742556,0.0002377998,0.0006787814],"category_scores_gemma":[0.00001654911,0.00008060335,0.00004928961,0.000365065,0.0001175124,0.0001149528,0.0005632639,0.000350934,0.00003359345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003754821,"about_ca_system_score_gemma":0.0000256791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263774,"about_ca_topic_score_gemma":0.01394501,"domain_scores_codex":[0.9987435,0.00009055543,0.0001581205,0.0003662039,0.0001141884,0.0005274789],"domain_scores_gemma":[0.999495,0.00005603558,0.000041143,0.00004964703,0.00005798075,0.0003001445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001029931,0.0001314752,0.6747404,0.00009018459,0.00008933737,0.0006510493,0.003038614,0.000003142366,0.1710068,0.0007515258,0.05143242,0.09796205],"study_design_scores_gemma":[0.0002970292,0.0001849302,0.2029798,0.000008455851,0.00002403509,0.000009448915,0.001599199,0.00001524491,0.0008408509,0.0002294586,0.7935291,0.0002824004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900987,0.0001092887,0.000004260479,0.001821641,0.00004081072,0.0002447605,0.00001367913,0.0000803656,0.007586501],"genre_scores_gemma":[0.9802696,0.00008588454,0.00005918647,0.0005787963,0.000104807,0.000002014645,0.0000524928,0.000001718228,0.01884552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7420967,"threshold_uncertainty_score":0.7781642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753727590648183,"score_gpt":0.1774211343690733,"score_spread":0.1598838584625915,"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."}}