{"id":"W2528492400","doi":"","title":"Can our Laws Save Species Like Eria meghasaniensis","year":2016,"lang":"en","type":"article","venue":"Indian Forester","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Endangered species; Business; Extinction (optical mineralogy); Wildlife; Plan (archaeology); Biodiversity; Environmental planning; Population; Diversity (politics); Rehabilitation; Environmental protection; Environmental resource management; Geography; Ecology; Political science; Habitat; Law; Biology; Computer science; Environmental health; Medicine; Environmental science; Archaeology","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":[0.001457763,0.000216214,0.0001633559,0.0004999254,0.00162977,0.001714341,0.001220703,0.00223192,0.01151304],"category_scores_gemma":[0.004530522,0.0001180294,0.0002507374,0.0002945502,0.002299013,0.002621492,0.00157121,0.002447239,0.00270108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007521269,"about_ca_system_score_gemma":0.004012703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450804,"about_ca_topic_score_gemma":0.045321,"domain_scores_codex":[0.9991471,0.0000844254,0.00003747008,0.00009318172,0.0003762766,0.0002614892],"domain_scores_gemma":[0.9985937,0.0003164937,0.0002276304,0.0002315056,0.0004041135,0.0002264736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008224315,0.0005391632,0.02096163,0.0006317967,0.00004399686,0.001396349,0.005671591,0.0005484812,0.01098281,0.3083875,0.2872341,0.3635204],"study_design_scores_gemma":[0.000009476236,0.00005530644,0.01174312,0.000218751,0.00002264222,0.0003196863,0.001913481,0.0001312718,0.001326796,0.01030938,0.9739177,0.00003241709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.09803348,0.00851777,0.005112631,0.1616518,0.003183078,0.0002590682,0.0007312426,0.000915134,0.7215958],"genre_scores_gemma":[0.6615273,0.005014323,0.01004974,0.07577386,0.0005417946,0.0002173021,0.0005169278,0.0001484784,0.2462103],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02450804,"threshold_uncertainty_score":0.04873073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270896327532426,"score_gpt":0.1990552601408654,"score_spread":0.1719656273876228,"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."}}