{"id":"W6892173974","doi":"10.5061/dryad.bp683","title":"Data from: Ecological niche modelling for conservation planning of an endemic snail in the verge of becoming a pest in cardamom plantations in the Western Ghats biodiversity hotspot","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Biodiversity hotspot; Biodiversity; Ecological niche; Niche; Endemism; Environmental niche modelling; Distribution (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005116496,0.0004744313,0.0002724501,0.0005081669,0.0002578999,0.0004699223,0.000759402,0.0005831856,0.006972235],"category_scores_gemma":[0.001318753,0.0002479742,0.0007240053,0.0005780956,0.0002036818,0.0004448994,0.0003700141,0.0003565871,0.0008582302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206243,"about_ca_system_score_gemma":0.0004929615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03639854,"about_ca_topic_score_gemma":0.05169136,"domain_scores_codex":[0.9998834,0.00003008677,0.00001099806,0.00003265465,0.00002475815,0.00001807536],"domain_scores_gemma":[0.9996692,0.0001474763,0.00003858915,0.00003785843,0.0000812736,0.00002558138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000785387,0.0003277509,0.1624396,0.0004326821,0.0002089038,0.0004116368,0.0003004528,0.7652854,0.003621266,0.001749199,0.01583994,0.04859788],"study_design_scores_gemma":[0.00007661762,0.00006854368,0.03446539,0.00003193221,0.00002813955,0.0000601907,0.0001266617,0.9580721,0.001226687,0.001097648,0.004724429,0.00002158779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9119215,0.0002441659,0.02901075,0.0006925967,0.0000868944,0.0001801578,0.04686256,0.003462947,0.007538495],"genre_scores_gemma":[0.9564106,0.00008083393,0.01739451,0.00006154666,0.0000148614,0.0001323717,0.02434229,0.00009915586,0.001463802],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03639854,"threshold_uncertainty_score":0.07237333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435024380584503,"score_gpt":0.3164552212833072,"score_spread":0.1729527832248569,"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."}}