{"id":"W6943654031","doi":"10.15468/dl.zynp99","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); 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":[0.001036594,0.0019643,0.001641817,0.00506216,0.001087655,0.002854284,0.00298898,0.002209508,0.175105],"category_scores_gemma":[0.006197531,0.000956503,0.001208214,0.009586778,0.0004588666,0.002747531,0.002726585,0.002160105,0.2414338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564496,"about_ca_system_score_gemma":0.002252438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840662,"about_ca_topic_score_gemma":0.03213675,"domain_scores_codex":[0.9988932,0.0001590649,0.0001361962,0.0004017232,0.0002323963,0.0001773807],"domain_scores_gemma":[0.9974566,0.0007354092,0.0002216225,0.0006921086,0.0006052193,0.0002889717],"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":[0.00002691032,0.00001075712,0.0003146662,0.0005069058,0.00001331121,0.0000139961,0.00002107553,0.000107112,0.00009821125,0.0003832167,0.9972554,0.00124858],"study_design_scores_gemma":[0.00006724685,0.000007329052,0.001495705,0.0001785608,0.00001263118,0.00003426376,0.0000664181,0.0001353946,0.0001547081,0.0008278718,0.9970027,0.0000170542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003855268,0.00002815474,0.00004898917,0.00003912456,0.00001312121,0.000005543347,0.9987265,0.0003890794,0.0007108769],"genre_scores_gemma":[0.0001530369,0.00003399507,0.0002033928,0.00004919444,0.000003839447,0.00004340359,0.9988289,0.000168409,0.0005157665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.824895,"threshold_uncertainty_score":0.5857846,"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."}}