{"id":"W6962263700","doi":"10.15468/dl.w4pd6e","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; Confidentiality","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":[0.0009587689,0.001966466,0.001639926,0.005162267,0.0009210211,0.002447234,0.002712366,0.002051142,0.1533315],"category_scores_gemma":[0.006071404,0.0009045923,0.00118395,0.01047045,0.0004351087,0.002198371,0.002496557,0.001902433,0.2103949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537078,"about_ca_system_score_gemma":0.002216967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137152,"about_ca_topic_score_gemma":0.03466693,"domain_scores_codex":[0.9989541,0.0001404072,0.0001453558,0.0003600783,0.000227767,0.0001722231],"domain_scores_gemma":[0.9975166,0.0007177065,0.0002422275,0.0006303752,0.0006092177,0.0002839406],"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":[0.00003279627,0.00001206295,0.0004229871,0.0006426495,0.00001777081,0.00001654319,0.0000254263,0.0001467919,0.0001316646,0.0003927682,0.9966418,0.001516775],"study_design_scores_gemma":[0.00007958496,0.000008825679,0.002046686,0.0002123952,0.00001634797,0.00003850467,0.00007107053,0.0001492507,0.0001842715,0.0007623584,0.9964122,0.00001847187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004075395,0.00002665012,0.00003905673,0.00002966596,0.00001014471,0.00000468883,0.999024,0.0003032292,0.0005218448],"genre_scores_gemma":[0.0001573704,0.00003321773,0.0001739607,0.00003943105,0.000003098734,0.00003740024,0.9990525,0.0001227849,0.0003801922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466685,"threshold_uncertainty_score":0.5129449,"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."}}