{"id":"W6887325960","doi":"10.15468/dl.z7yc6e","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.001123752,0.001927565,0.001588935,0.005162243,0.001046701,0.002633889,0.002894797,0.001968235,0.1723801],"category_scores_gemma":[0.00632113,0.0009640281,0.001125771,0.01016172,0.0004687148,0.002316435,0.002613533,0.002097467,0.2356011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681889,"about_ca_system_score_gemma":0.002416316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175165,"about_ca_topic_score_gemma":0.03695668,"domain_scores_codex":[0.9988905,0.0001449437,0.000141061,0.0003786224,0.0002583106,0.0001865923],"domain_scores_gemma":[0.9973339,0.0007440786,0.0002558922,0.0006991972,0.0006638991,0.0003031674],"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":[0.00002662978,0.0000103509,0.0003570782,0.0004688327,0.00001405318,0.00001376457,0.00002373831,0.0001128442,0.0001153782,0.0003987309,0.9970957,0.001362824],"study_design_scores_gemma":[0.00006000736,0.000006350622,0.00168556,0.0001640614,0.00001276538,0.00003330996,0.00006719826,0.0001200758,0.0001780512,0.0007078652,0.9969485,0.00001623963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003519509,0.00002136687,0.00004675541,0.00003111254,0.0000113314,0.000004691749,0.9988341,0.0003446185,0.000670847],"genre_scores_gemma":[0.0001417953,0.00002722742,0.0002025267,0.00003876933,0.000003211521,0.00003881443,0.9989247,0.0001627655,0.0004601119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276199,"threshold_uncertainty_score":0.5766687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}