{"id":"W3158599981","doi":"10.21029/jael.2021.30.7","title":"Analysis of Indian and Canadian Laws on Biofertilizers","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural and Environmental Law = Agrár- és Környezetjog","topic":"International Environmental Law and Policies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biofertilizer; Fertilizer; Biotechnology; Business; Law; Political science; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001314021,0.0002189171,0.0003713568,0.00009201565,0.0001791569,0.00004099516,0.0001459556,0.0001158372,0.00150854],"category_scores_gemma":[0.000008425491,0.0001478125,0.0002025391,0.0002135503,0.0004276751,0.0002777031,0.0001016035,0.0002093159,0.0000245408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724245,"about_ca_system_score_gemma":0.000009362503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0150389,"about_ca_topic_score_gemma":0.02582716,"domain_scores_codex":[0.9985371,0.00005801492,0.0004343455,0.0002362342,0.0004618482,0.0002725064],"domain_scores_gemma":[0.999208,0.00005618252,0.0002398145,0.0001050635,0.000005961318,0.0003850195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003025611,0.001257658,0.6337909,0.00005814943,0.003714223,0.0004775775,0.005341115,0.01502189,0.3137735,0.01223679,0.004019913,0.01000578],"study_design_scores_gemma":[0.0003934377,0.0002310534,0.966649,0.00002609163,0.0003159727,0.0002237991,0.0009762245,0.00002179971,0.0143221,0.00008244219,0.01652454,0.0002335692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833662,0.0002700558,6.833543e-7,0.0008019873,0.0001059493,0.00006265294,0.0001217358,0.000002944648,0.0152678],"genre_scores_gemma":[0.9970516,0.0004072081,0.00009007738,0.0009075407,0.00005214224,0.000001517639,0.00006259917,0.000008024103,0.001419313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3328581,"threshold_uncertainty_score":0.9994042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003898054564449975,"score_gpt":0.1750906805796057,"score_spread":0.1711926260151558,"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."}}