{"id":"W6905844703","doi":"10.15468/dl.j9b58x","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); 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":[0.0009302642,0.002125965,0.001628621,0.005135512,0.001133859,0.002649238,0.003006505,0.002285517,0.1573256],"category_scores_gemma":[0.006255613,0.0009634827,0.001205722,0.009982727,0.0004841026,0.002563991,0.002689462,0.002075062,0.2174371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898019,"about_ca_system_score_gemma":0.002546386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02962656,"about_ca_topic_score_gemma":0.04934316,"domain_scores_codex":[0.9989187,0.0001440287,0.0001296923,0.0003655481,0.0002562873,0.0001858111],"domain_scores_gemma":[0.9975375,0.0006847541,0.0002072753,0.0006299167,0.0006643206,0.0002763131],"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":[0.00002712359,0.00001147951,0.0003528649,0.0004676787,0.00001240902,0.00001532815,0.00002407874,0.0001203878,0.00009904504,0.0003574114,0.9971655,0.001346685],"study_design_scores_gemma":[0.00007089847,0.00000817141,0.001705129,0.0001898398,0.00001295952,0.00004053655,0.00009283175,0.0001819409,0.0001872317,0.0007580338,0.9967338,0.00001857111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004948191,0.00002992767,0.00004995559,0.00004300958,0.00001343142,0.000005636595,0.9985953,0.0004991755,0.00071403],"genre_scores_gemma":[0.000182381,0.00003449804,0.0002286975,0.00004456985,0.000003539664,0.00004016517,0.9987941,0.0001712896,0.0005007182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426744,"threshold_uncertainty_score":0.5263067,"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."}}