{"id":"W6887153613","doi":"10.15468/dl.rz3b1t","title":"Occurrence Download","year":2019,"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); 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":[0.0008671432,0.001970404,0.001536545,0.004929663,0.0009853763,0.002530595,0.002837834,0.001981364,0.1441327],"category_scores_gemma":[0.005529461,0.000847495,0.001215099,0.009828134,0.0004450621,0.002256981,0.002567858,0.001918259,0.2166285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579558,"about_ca_system_score_gemma":0.002234192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02471082,"about_ca_topic_score_gemma":0.03895821,"domain_scores_codex":[0.9990469,0.0001245468,0.0001221152,0.0003379886,0.0002083219,0.0001601846],"domain_scores_gemma":[0.9978688,0.0005768857,0.000200822,0.0005648455,0.0005327722,0.0002558869],"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":[0.00002823461,0.00001099557,0.0004114773,0.0004956304,0.00001425058,0.0000163194,0.00002427052,0.0001288648,0.0001042934,0.0003586558,0.9969807,0.001426283],"study_design_scores_gemma":[0.00006788173,0.00000826565,0.002002534,0.0001944789,0.00001475297,0.00004250207,0.00008335839,0.000180261,0.0001916635,0.0007857805,0.9964105,0.00001797443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004870465,0.0000314418,0.00004734553,0.00004057239,0.00001431397,0.00000542571,0.9986612,0.0004724736,0.0006784903],"genre_scores_gemma":[0.0001704893,0.00003553847,0.0001983493,0.00004360464,0.000003677053,0.00003811238,0.9988955,0.0001501864,0.0004644626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8558673,"threshold_uncertainty_score":0.4821721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}