{"id":"W6905647329","doi":"10.15468/dl.c3z9xf","title":"Occurrence Download","year":2024,"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); Listing (finance); Range (aeronautics); 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":[0.001068351,0.001925262,0.001568377,0.005167574,0.001022256,0.002526953,0.002879494,0.0019264,0.1814057],"category_scores_gemma":[0.00631892,0.001011203,0.001179353,0.009237122,0.0004717593,0.00232018,0.002851298,0.001990378,0.2309056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751247,"about_ca_system_score_gemma":0.00252223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02422602,"about_ca_topic_score_gemma":0.04083043,"domain_scores_codex":[0.9990488,0.0001193035,0.0001164947,0.0003305624,0.0002176854,0.0001671156],"domain_scores_gemma":[0.9973184,0.0007238563,0.0002470706,0.0007170858,0.0006915061,0.00030212],"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":[0.00002542984,0.000009503217,0.0003462285,0.0005057943,0.00001391557,0.0000124186,0.00002283847,0.0001088156,0.0001126362,0.0003800491,0.9970602,0.001402081],"study_design_scores_gemma":[0.00006585416,0.000007076235,0.001897899,0.0002068735,0.00001419603,0.00003230057,0.00006690677,0.0001294714,0.0001919093,0.0007683702,0.9966022,0.00001697865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002985519,0.00001839053,0.00004023041,0.00002800741,0.000009260567,0.000004581949,0.9989805,0.0003318952,0.0005572707],"genre_scores_gemma":[0.0001445329,0.00002899274,0.000214321,0.00003986218,0.000002900445,0.00004174697,0.9988834,0.000171666,0.0004725691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185943,"threshold_uncertainty_score":0.6068624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}