{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008962938,0.0006581229,0.0005508581,0.001340582,0.00248141,0.008127349,0.0009873144,0.002066841,0.02530469],"category_scores_gemma":[0.001951924,0.0001903732,0.000332998,0.003387112,0.005237351,0.004640729,0.004070416,0.004888365,0.008217229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003852282,"about_ca_system_score_gemma":0.008391516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709813,"about_ca_topic_score_gemma":0.02028618,"domain_scores_codex":[0.9987935,0.0003243676,0.00005179221,0.0001542965,0.000361566,0.000314401],"domain_scores_gemma":[0.9991703,0.000255972,0.00007323251,0.0001168332,0.00023038,0.0001532747],"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":[0.00001488612,0.00002222211,0.0007996368,0.0005938957,0.00001385812,0.0002540585,0.001816035,0.0002133742,0.0001737312,0.2739677,0.6285871,0.09354357],"study_design_scores_gemma":[0.000001310969,0.00000751865,0.0007877099,0.0002446815,0.000003122565,0.0001084012,0.001034728,0.00003931062,0.00005824666,0.02187566,0.9758307,0.000008549772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002601455,0.1940359,0.0009364822,0.2755245,0.01482128,0.00005630157,0.001139098,0.0004244807,0.5104604],"genre_scores_gemma":[0.2634291,0.2737347,0.004069919,0.07667759,0.009144562,0.0002174341,0.001634188,0.0003688027,0.3707238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02530469,"threshold_uncertainty_score":0.08465254,"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."}}