{"id":"W6924894453","doi":"10.15468/dl.xvgbzj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Task (project management); State (computer science)","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":[0.0008992022,0.002150377,0.001563868,0.004422403,0.001003736,0.002417436,0.002911027,0.002222657,0.1099287],"category_scores_gemma":[0.004813075,0.0008506305,0.001237356,0.008478049,0.0004572708,0.002024397,0.002372848,0.002082764,0.1747707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626585,"about_ca_system_score_gemma":0.002184658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259175,"about_ca_topic_score_gemma":0.03785267,"domain_scores_codex":[0.9990958,0.0001188993,0.0001122876,0.0003154333,0.0002105144,0.0001470267],"domain_scores_gemma":[0.9981545,0.0004964811,0.000176166,0.0004943737,0.0004704511,0.0002079836],"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":[0.000036567,0.00001541665,0.000490822,0.0006023982,0.00001944716,0.00002021851,0.00002694079,0.0002217534,0.0001639266,0.000491146,0.9961475,0.001763894],"study_design_scores_gemma":[0.00007975421,0.000008849864,0.00203756,0.000186506,0.0000158895,0.00004126197,0.00007098832,0.0002456841,0.0002380344,0.0009366898,0.996119,0.00001979267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005276477,0.0000303089,0.00005490138,0.00003562764,0.00001204505,0.000005430858,0.9987817,0.0004487452,0.0005785357],"genre_scores_gemma":[0.0001631053,0.00003236776,0.0002185477,0.00003890441,0.000003001671,0.00003629466,0.9990066,0.0001294446,0.0003717776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8900713,"threshold_uncertainty_score":0.3677482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240802520027568,"score_gpt":0.2003979034728958,"score_spread":0.1879898782726202,"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."}}