{"id":"W6962546903","doi":"10.15468/dl.mjaasj","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009086645,0.001816783,0.001533319,0.004862249,0.001056234,0.002956411,0.002738097,0.001851357,0.2016863],"category_scores_gemma":[0.006173639,0.0009114292,0.001360543,0.009826213,0.0004101911,0.002599871,0.002796837,0.001914237,0.2910919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466176,"about_ca_system_score_gemma":0.002358858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088806,"about_ca_topic_score_gemma":0.03347998,"domain_scores_codex":[0.9989464,0.0001281005,0.0001354862,0.0003722237,0.0002308145,0.0001870061],"domain_scores_gemma":[0.9975151,0.0006403293,0.0002022839,0.0006940743,0.0006844952,0.0002637849],"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":[0.00002754009,0.000008932836,0.0003979877,0.0004874808,0.00001343759,0.00001514356,0.00002451572,0.0001112869,0.0001120372,0.000369271,0.9965239,0.00190849],"study_design_scores_gemma":[0.00004771412,0.000006327243,0.001547497,0.0001543454,0.00001140455,0.0000325527,0.00007267283,0.0001477774,0.0001619841,0.0007298823,0.9970727,0.00001527836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004523078,0.00003074082,0.00006652737,0.00004424697,0.00001721963,0.000006043949,0.9982153,0.0006635486,0.0009112046],"genre_scores_gemma":[0.0001904737,0.00004322611,0.0002698439,0.00005696631,0.000004968612,0.00004519572,0.9984276,0.0002596044,0.0007021553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7983137,"threshold_uncertainty_score":0.6747079,"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."}}