{"id":"W6962679541","doi":"10.15468/dl.zx4qe7","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); Real world data; Set (abstract data type)","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":[0.0009466322,0.001978619,0.001550738,0.00462134,0.0009998459,0.002424639,0.002853883,0.002150174,0.1362649],"category_scores_gemma":[0.005574395,0.0008957693,0.001202265,0.009043389,0.0004325558,0.002212699,0.002485754,0.00199583,0.2038999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594442,"about_ca_system_score_gemma":0.002261164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206646,"about_ca_topic_score_gemma":0.03678571,"domain_scores_codex":[0.9990106,0.0001269187,0.000124789,0.0003427906,0.0002299196,0.0001649105],"domain_scores_gemma":[0.9977805,0.0005941402,0.0002101074,0.000609691,0.0005519923,0.0002535955],"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":[0.00003024406,0.00001246664,0.0004361498,0.0005084247,0.00001545747,0.00001683608,0.00002600271,0.0001426661,0.0001380761,0.0004045976,0.9967564,0.00151261],"study_design_scores_gemma":[0.00007039372,0.000008181726,0.001939796,0.0001741346,0.00001418578,0.00003949069,0.00007294408,0.0001855275,0.0002110337,0.0007764568,0.9964896,0.00001815803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004754605,0.00002541065,0.00005159372,0.00003553419,0.00001238745,0.000005330649,0.9987381,0.0004521558,0.0006320591],"genre_scores_gemma":[0.0001632479,0.00002802605,0.0002124813,0.00003995423,0.000003147949,0.0000382468,0.998962,0.0001492732,0.0004036032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8637351,"threshold_uncertainty_score":0.4558514,"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."}}