{"id":"W6887091387","doi":"10.15468/dl.r4r6be","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":"Matching (statistics); Download; Range (aeronautics); Identification (biology); 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":[0.001031604,0.001947367,0.001562509,0.005073775,0.0009691931,0.002393226,0.002885048,0.001989025,0.147369],"category_scores_gemma":[0.0058232,0.0008944447,0.001121901,0.01035223,0.0004607774,0.002145126,0.002341201,0.002036929,0.194152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716387,"about_ca_system_score_gemma":0.002444292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660918,"about_ca_topic_score_gemma":0.0416409,"domain_scores_codex":[0.9989859,0.0001360198,0.0001261271,0.0003438687,0.0002369704,0.0001710695],"domain_scores_gemma":[0.9976229,0.0006691928,0.0002330213,0.0006151465,0.0005820284,0.0002777159],"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":[0.00002712739,0.00001139432,0.0003714938,0.0004586804,0.00001393966,0.00001409514,0.00002208523,0.0001447898,0.0001031651,0.0003811037,0.9970732,0.00137905],"study_design_scores_gemma":[0.00007141645,0.000007662024,0.001959828,0.0001705118,0.00001410209,0.00003643274,0.00007281654,0.0001688131,0.000199827,0.0007300065,0.9965513,0.00001734991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004312554,0.00002444856,0.00004126693,0.00003386651,0.00001076248,0.000004692736,0.9989232,0.0003352153,0.0005832936],"genre_scores_gemma":[0.0001612344,0.00002821068,0.000174246,0.00003548388,0.000002927532,0.00003603875,0.9990023,0.000124338,0.000435167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.852631,"threshold_uncertainty_score":0.4929984,"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."}}