{"id":"W6924494059","doi":"10.15468/dl.egdbww","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Economic and Social Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009585768,0.001887621,0.00155765,0.004752084,0.001099503,0.002690997,0.002986094,0.002334244,0.1398359],"category_scores_gemma":[0.006358968,0.0009100322,0.001339831,0.008714881,0.0004523588,0.002445361,0.002570519,0.002120842,0.1999695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782257,"about_ca_system_score_gemma":0.002489356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237699,"about_ca_topic_score_gemma":0.03751756,"domain_scores_codex":[0.9989017,0.000147881,0.0001483391,0.0003806363,0.0002474777,0.0001738908],"domain_scores_gemma":[0.9975771,0.0006595502,0.0002160342,0.0006483991,0.0006387717,0.0002601877],"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":[0.00003020715,0.00001191862,0.0004523578,0.0005241029,0.00001515946,0.00001557161,0.00002171061,0.0001390755,0.00009796408,0.0003550469,0.9966218,0.001715002],"study_design_scores_gemma":[0.0000780906,0.000008745771,0.00202759,0.0002150971,0.00001426511,0.00004224851,0.0000784213,0.0002208312,0.0001698502,0.0008059767,0.9963218,0.00001710012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004515138,0.00003387321,0.00004620709,0.00004643552,0.00001343684,0.000006060866,0.9988141,0.0003957882,0.0005990223],"genre_scores_gemma":[0.0001704038,0.00003839374,0.0002196608,0.00005156269,0.000003948243,0.00004392111,0.9988962,0.0001181817,0.0004575725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.860164,"threshold_uncertainty_score":0.4677978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951610962322914,"score_gpt":0.2480415451013868,"score_spread":0.2285254354781577,"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."}}