{"id":"W6891316185","doi":"10.3897/zookeys.701.13261.figure87","title":"Figure 87 from: Fisher JR, Fisher DM, Skvarla MJ, Nelson WA, Dowling APG (2017) Revision of torrent mites (Parasitengona, Torrenticolidae, Torrenticola) of the United States and Canada: 90 descriptions, molecular phylogenetics, and a key to species. ZooKeys 701: 1-496. https://doi.org/10.3897/zookeys.701.13261","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Exposition (narrative); Fisher kernel; Race (biology)","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":[0.0003552245,0.001250055,0.0009128407,0.002373905,0.001218237,0.00257577,0.001234672,0.001183783,0.8889067],"category_scores_gemma":[0.003989682,0.0004495734,0.0005622668,0.003082657,0.0007944041,0.002601809,0.00211848,0.001487019,0.8004123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193629,"about_ca_system_score_gemma":0.002339156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02491016,"about_ca_topic_score_gemma":0.05946245,"domain_scores_codex":[0.9996414,0.00002850597,0.00002729835,0.00006864873,0.0001851509,0.00004898894],"domain_scores_gemma":[0.9985202,0.0003286124,0.0000819112,0.0001708292,0.0006668278,0.0002316902],"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":[0.00001471062,0.000006266997,0.000107533,0.0001501829,0.000002316459,0.00004215565,0.00004456136,0.00001851559,0.00008885373,0.0003705503,0.9852901,0.0138643],"study_design_scores_gemma":[0.000004163429,0.000002838708,0.0005145004,0.00009310185,0.000002039675,0.00009086921,0.00003283268,0.00001916199,0.0000864138,0.0002584018,0.9988926,0.000002954761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007205352,0.001471648,0.002224368,0.001946133,0.003287205,0.0001870088,0.1140425,0.004259733,0.8718608],"genre_scores_gemma":[0.0053862,0.001987697,0.002401209,0.001085055,0.0005759902,0.000130249,0.0676406,0.003572352,0.9172207],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9750898,"threshold_uncertainty_score":0.158461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995207097577475,"score_gpt":0.2366121392237026,"score_spread":0.2066600682479278,"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."}}