{"id":"W6924571862","doi":"10.15468/dl.qrp2a6","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); 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":[0.0009252575,0.002009061,0.001646919,0.005196963,0.0009998659,0.002572899,0.002793995,0.002004976,0.1508089],"category_scores_gemma":[0.005509794,0.000913019,0.001148804,0.01080307,0.0004401401,0.002230764,0.002539073,0.001936881,0.2196045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786465,"about_ca_system_score_gemma":0.002599589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0299231,"about_ca_topic_score_gemma":0.04986485,"domain_scores_codex":[0.9989907,0.0001272588,0.0001267469,0.0003509056,0.0002303553,0.0001741111],"domain_scores_gemma":[0.9977146,0.0006062526,0.0002248448,0.0005745558,0.0006074257,0.0002723073],"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":[0.00002907467,0.00001029681,0.0003797587,0.0005521419,0.00001534024,0.00001493364,0.00002459702,0.0001209997,0.0001194107,0.0003969482,0.996976,0.001360604],"study_design_scores_gemma":[0.00006572156,0.00000657261,0.001787552,0.0001839253,0.00001363202,0.0000322706,0.00006856738,0.0001240043,0.0001798305,0.000723323,0.9967976,0.00001703708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003506766,0.00002433545,0.00003644697,0.00002785522,0.000008881039,0.000004074448,0.9989791,0.0003103969,0.0005739063],"genre_scores_gemma":[0.0001461383,0.00003172624,0.000175586,0.0000373886,0.000002805161,0.00003364641,0.9990129,0.0001371606,0.0004225504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491911,"threshold_uncertainty_score":0.504506,"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."}}