{"id":"W6924559104","doi":"10.15468/dl.xjvx4c","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); 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":[0.0009666696,0.002408623,0.001604044,0.004737612,0.001056356,0.002566514,0.002929752,0.002411091,0.1135769],"category_scores_gemma":[0.005641242,0.0008673556,0.001416789,0.008804752,0.0004965696,0.002153512,0.002485547,0.002037181,0.1879536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159787,"about_ca_system_score_gemma":0.002428527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0228069,"about_ca_topic_score_gemma":0.03740257,"domain_scores_codex":[0.9989368,0.0001426458,0.0001376794,0.0003865323,0.0002238491,0.0001724047],"domain_scores_gemma":[0.9977707,0.0006377095,0.0002074598,0.0005742183,0.0005637357,0.0002462107],"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":[0.00004119849,0.00001807016,0.0005036673,0.0006368299,0.00001767589,0.0000188662,0.00002369549,0.0001988849,0.0001464575,0.0003715457,0.9962695,0.001753564],"study_design_scores_gemma":[0.00009873229,0.00001458485,0.00208388,0.0002291954,0.00001842826,0.00004241744,0.00008111395,0.0002645766,0.0002469469,0.000902262,0.9959943,0.00002348508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000559969,0.00003283545,0.00004372095,0.00003744644,0.00001449837,0.000006464456,0.9988205,0.0004163176,0.0005722354],"genre_scores_gemma":[0.000154025,0.00003479178,0.0002105538,0.00004374614,0.000003513889,0.00004205481,0.9990157,0.0001026547,0.0003929064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8864231,"threshold_uncertainty_score":0.3799525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331217199835674,"score_gpt":0.1921526388493562,"score_spread":0.1788404668509994,"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."}}