{"id":"W6925020314","doi":"10.15468/dl.wc8pet","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Order (exchange)","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":[0.001309055,0.001767604,0.001449784,0.004538277,0.001053816,0.00255844,0.002862272,0.002106018,0.1390291],"category_scores_gemma":[0.007064494,0.0008740241,0.001109682,0.008863908,0.0005112808,0.002111725,0.002503876,0.002258567,0.1867009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773062,"about_ca_system_score_gemma":0.002608346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241389,"about_ca_topic_score_gemma":0.04342501,"domain_scores_codex":[0.9988616,0.0001791066,0.0001460178,0.000370542,0.0002733139,0.0001695184],"domain_scores_gemma":[0.9970945,0.000868245,0.0002678965,0.0007227247,0.0007195818,0.0003270463],"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":[0.00002560148,0.00001177375,0.0003743213,0.000443686,0.00001367857,0.00001386426,0.00002488615,0.0001168789,0.00008762984,0.0004552053,0.9972432,0.001189308],"study_design_scores_gemma":[0.00007614997,0.000006807449,0.001793463,0.0001734209,0.00001289369,0.00003260736,0.00007354303,0.0001525707,0.0001664033,0.0008440722,0.9966519,0.00001614137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004112937,0.00002302076,0.00004864779,0.00004268673,0.00001144411,0.000005832573,0.9988661,0.0003215403,0.0006395491],"genre_scores_gemma":[0.0001569077,0.00003021337,0.0002206411,0.00004662428,0.000003325305,0.00004944525,0.9988769,0.0001374675,0.0004784456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8609709,"threshold_uncertainty_score":0.4650986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383552268383734,"score_gpt":0.2963610385961959,"score_spread":0.2625255159123586,"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."}}