{"id":"W6961731357","doi":"10.15468/dl.tchre6","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Data set","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":[0.0009024411,0.001989893,0.001544845,0.004669161,0.0009928255,0.002323525,0.002753437,0.002129572,0.1435938],"category_scores_gemma":[0.00511055,0.0009068858,0.001214555,0.009222393,0.0004507732,0.002124587,0.002524172,0.001964228,0.2089685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603126,"about_ca_system_score_gemma":0.002284115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212391,"about_ca_topic_score_gemma":0.03751905,"domain_scores_codex":[0.9990645,0.000122933,0.0001172234,0.0003217443,0.0002131772,0.0001604621],"domain_scores_gemma":[0.9979514,0.0005551981,0.0001953454,0.0005499175,0.0005086176,0.0002395504],"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":[0.00003019237,0.00001275175,0.0004413155,0.0005756627,0.00001623496,0.0000177225,0.0000296783,0.0001448134,0.0001594421,0.0004198757,0.9965028,0.001649523],"study_design_scores_gemma":[0.00006629121,0.000007695361,0.001892615,0.0001810904,0.00001386077,0.00003891106,0.00007700328,0.0001621939,0.0002105326,0.0007045419,0.9966279,0.0000173894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005268912,0.00002896488,0.0000523753,0.00003499297,0.00001260265,0.000005682897,0.9987195,0.0004254366,0.0006679017],"genre_scores_gemma":[0.000175588,0.00003161945,0.0002282511,0.00004225742,0.000003158655,0.00004320148,0.9988936,0.0001507782,0.0004315966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8564062,"threshold_uncertainty_score":0.4803692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}