{"id":"W6943182521","doi":"10.15468/dl.yzkps4","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); Alien; Range (aeronautics); The Internet","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":[0.0009995673,0.001898527,0.001607252,0.004958209,0.001013602,0.002443303,0.002778258,0.002102273,0.1480557],"category_scores_gemma":[0.005931952,0.0009000984,0.001257993,0.009742654,0.0004598864,0.002196338,0.002501089,0.001931725,0.2090367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618239,"about_ca_system_score_gemma":0.002429136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359557,"about_ca_topic_score_gemma":0.03772724,"domain_scores_codex":[0.9989661,0.0001405161,0.0001315753,0.000353016,0.0002347755,0.0001740769],"domain_scores_gemma":[0.9974241,0.0007482107,0.0002325977,0.0006753888,0.0006346088,0.000285131],"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":[0.00003089201,0.00001299762,0.0004100907,0.0005919213,0.00001517053,0.00001696455,0.00002484296,0.0001267318,0.0001342224,0.0003536697,0.9968119,0.001470581],"study_design_scores_gemma":[0.00007821623,0.00001000416,0.002336396,0.0002193315,0.00001599736,0.00004216224,0.00008506063,0.0001561462,0.0002137841,0.0007051667,0.9961189,0.00001887152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005035013,0.0000298126,0.00004244113,0.00003833604,0.00001253326,0.000006023635,0.9987931,0.0003978634,0.000629473],"genre_scores_gemma":[0.0001718182,0.00003444041,0.0001834416,0.00004491731,0.000003479115,0.00004467299,0.9989464,0.0001363129,0.0004346613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8519443,"threshold_uncertainty_score":0.4952955,"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."}}