{"id":"W6905987926","doi":"10.15468/dl.w2u3p2","title":"Occurrence Download","year":2021,"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); Lithobates; Data collection","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":[0.0008868255,0.001908076,0.001436619,0.004443481,0.0009101202,0.002466943,0.00261346,0.001814682,0.1471038],"category_scores_gemma":[0.005605144,0.0008689802,0.001209862,0.009184729,0.00042164,0.002271843,0.002408066,0.001966477,0.2313651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573578,"about_ca_system_score_gemma":0.002339059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389607,"about_ca_topic_score_gemma":0.04198358,"domain_scores_codex":[0.9990498,0.0001301265,0.0001147912,0.0003474687,0.0002071608,0.0001506862],"domain_scores_gemma":[0.9977306,0.0006170803,0.0002077712,0.0006042066,0.0005773195,0.0002630407],"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":[0.00002400667,0.000009390904,0.0003605691,0.0004692899,0.00001273514,0.00001182711,0.00001914522,0.0001171726,0.0000894311,0.0003223896,0.9971331,0.001431011],"study_design_scores_gemma":[0.00006018252,0.000007597034,0.001763855,0.0001689124,0.00001261791,0.00003205158,0.00006149319,0.0001560068,0.0001659305,0.0007408681,0.9968147,0.00001582227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004033344,0.00002818374,0.00004666435,0.00003612474,0.00001251352,0.000005496676,0.9986919,0.0004242483,0.0007146131],"genre_scores_gemma":[0.0001547041,0.0000353934,0.000212466,0.00004731082,0.000003644237,0.00004162693,0.998805,0.00015236,0.0005474262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8528962,"threshold_uncertainty_score":0.4921113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}