{"id":"W6924638751","doi":"10.15468/dl.ppjt9r","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); R package; The Internet","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008580851,0.001829514,0.001431388,0.004429827,0.0009483764,0.002372067,0.002624198,0.001952231,0.1631122],"category_scores_gemma":[0.005767805,0.0008361465,0.001109351,0.008800638,0.000430459,0.002050599,0.002391473,0.001969884,0.2170425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519866,"about_ca_system_score_gemma":0.002282016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320752,"about_ca_topic_score_gemma":0.03973731,"domain_scores_codex":[0.9991273,0.0001159722,0.0001105785,0.0003027118,0.0001978687,0.0001456465],"domain_scores_gemma":[0.9978949,0.0006214083,0.0001961565,0.0005089586,0.0005300808,0.0002485116],"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":[0.00002627841,0.00001068658,0.0003449041,0.0005151125,0.0000128599,0.0000150746,0.00002465584,0.0001292721,0.0001000526,0.0003700521,0.9970288,0.001422403],"study_design_scores_gemma":[0.00007161826,0.00000717475,0.001648649,0.0001845226,0.00001345481,0.00003412709,0.00007594263,0.0001626553,0.0001732091,0.0007218053,0.9968906,0.00001626989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004320017,0.00002403225,0.00004764679,0.00003749893,0.00001176466,0.000005318423,0.9988279,0.0003629999,0.0006397178],"genre_scores_gemma":[0.0001639242,0.0000338322,0.0002174851,0.00004277275,0.000003558939,0.00004601424,0.9987993,0.0001541918,0.0005388513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368878,"threshold_uncertainty_score":0.5456648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953717733947452,"score_gpt":0.3216739796981921,"score_spread":0.3021368023587175,"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."}}