{"id":"W6905708669","doi":"10.15468/dl.ma4v9a","title":"Occurrence Download","year":2022,"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; 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":[0.0009236024,0.001970995,0.001483169,0.005309963,0.0009616755,0.00249705,0.002621178,0.002024632,0.1587974],"category_scores_gemma":[0.005504594,0.0008978239,0.001128221,0.01003071,0.0004488033,0.002284681,0.002656935,0.001918492,0.2144396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646362,"about_ca_system_score_gemma":0.002413958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02499823,"about_ca_topic_score_gemma":0.04334094,"domain_scores_codex":[0.9989768,0.0001390138,0.0001344552,0.0003435718,0.0002280404,0.0001781234],"domain_scores_gemma":[0.9975286,0.00064954,0.0002393238,0.000659985,0.000627624,0.0002948358],"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":[0.00003135363,0.00001088924,0.0003686637,0.0005453478,0.00001450179,0.00001605128,0.00002510013,0.0001241031,0.0001219799,0.0004158063,0.996923,0.001403248],"study_design_scores_gemma":[0.00006518038,0.000007167049,0.001704335,0.0001740031,0.00001230814,0.00003543765,0.00006663184,0.000121766,0.0001692782,0.000728056,0.9968991,0.00001673447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004010208,0.00002374928,0.00003868281,0.00003237772,0.00001019503,0.000005070207,0.9988546,0.0003349694,0.0006601524],"genre_scores_gemma":[0.0001548436,0.00003140096,0.0001755632,0.00004322725,0.000003162831,0.00003593956,0.9989672,0.0001360584,0.0004526085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8412026,"threshold_uncertainty_score":0.5312302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}