{"id":"W6905826040","doi":"10.15468/dl.prj5j6","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); Arrow; Real world data","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":[0.0009638582,0.002009562,0.001577707,0.004900669,0.001015022,0.002469454,0.002973681,0.002062024,0.1459214],"category_scores_gemma":[0.005469547,0.0008980695,0.001192506,0.009770898,0.0004496175,0.002159355,0.00248237,0.001976244,0.2080477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629746,"about_ca_system_score_gemma":0.002405966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02576197,"about_ca_topic_score_gemma":0.04149763,"domain_scores_codex":[0.9989985,0.0001329536,0.0001246488,0.0003432095,0.0002311744,0.0001695685],"domain_scores_gemma":[0.997832,0.0005687619,0.0002072651,0.0005862615,0.0005467336,0.0002590203],"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":[0.00002692909,0.00001018136,0.0003376526,0.0004739857,0.00001474346,0.00001411953,0.00002258764,0.0001250045,0.000111902,0.0003606644,0.9971824,0.001319921],"study_design_scores_gemma":[0.00006837584,0.000007297529,0.001815305,0.0001726121,0.00001448673,0.0000371119,0.00007290681,0.0001501836,0.0001920994,0.0007281594,0.9967243,0.00001710827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003895988,0.00002665627,0.00004301051,0.00003350812,0.00001140959,0.000004783346,0.9988427,0.0003847716,0.0006141165],"genre_scores_gemma":[0.0001429299,0.00002978865,0.0001808958,0.00003741721,0.0000029292,0.00003418726,0.999037,0.0001312705,0.0004035211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540786,"threshold_uncertainty_score":0.4881557,"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."}}