{"id":"W6905884524","doi":"10.15468/dl.sptef4","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); Alien; Range (aeronautics); Data collection","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":[0.0009182784,0.001778681,0.001513905,0.00511569,0.0009878606,0.002762464,0.002647635,0.001940967,0.1825365],"category_scores_gemma":[0.005971708,0.0008856399,0.001181787,0.01021339,0.0004171076,0.002410162,0.002516141,0.001949856,0.2645317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623422,"about_ca_system_score_gemma":0.002286437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103711,"about_ca_topic_score_gemma":0.03453411,"domain_scores_codex":[0.9989967,0.0001405681,0.000128095,0.0003484387,0.0002206993,0.0001655354],"domain_scores_gemma":[0.9976382,0.0006800034,0.0002109805,0.0005931542,0.000616437,0.0002612761],"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":[0.00002384685,0.000009488235,0.0003217682,0.0004852341,0.00001157697,0.00001275135,0.00002053646,0.0000950106,0.00009097432,0.0003406389,0.9971501,0.001438105],"study_design_scores_gemma":[0.00005406734,0.00000719494,0.001603992,0.0001970019,0.00001196442,0.00003223315,0.00007083728,0.0001236563,0.0001547739,0.0006876564,0.9970414,0.00001521756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003690488,0.00002908836,0.0000414419,0.0000402271,0.00001257093,0.000005395626,0.9987639,0.0003391646,0.0007313393],"genre_scores_gemma":[0.0001498616,0.00004048338,0.0001903114,0.00005007666,0.000004078383,0.00004582339,0.9987412,0.0001519967,0.0006262581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8174635,"threshold_uncertainty_score":0.6106455,"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."}}