{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004449652,0.0004463879,0.00052962,0.0004537528,0.0007249344,0.0008986571,0.002958915,0.0002074723,0.01066459],"category_scores_gemma":[0.0008342144,0.0004103654,0.00008888904,0.0004632746,0.0003451137,0.0002267337,0.003649374,0.000461758,0.000426819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363537,"about_ca_system_score_gemma":0.00005104558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03705831,"about_ca_topic_score_gemma":0.000497603,"domain_scores_codex":[0.9967736,0.0004603762,0.0005237067,0.0009256442,0.0008257598,0.000490883],"domain_scores_gemma":[0.9964855,0.00006759381,0.000630956,0.0018833,0.0006401902,0.0002924638],"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":[0.00002443874,0.0001026263,0.0003522398,0.0002138399,0.0001204162,0.00001367224,0.0006213575,0.0000131723,0.002132641,0.0003221963,0.9853545,0.01072892],"study_design_scores_gemma":[0.0003607425,0.000188192,0.004006386,0.001013822,0.00007912653,0.000002603997,0.00008495314,0.0008516518,0.002888383,0.00003995952,0.9900773,0.0004068958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2115417,0.009469465,0.07806532,0.004176478,0.00294883,0.009144297,0.004096826,0.002807137,0.6777499],"genre_scores_gemma":[0.1795088,0.007410143,0.03900552,0.001091712,0.001020127,0.000003527397,0.01107539,0.006977521,0.7539073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07615739,"threshold_uncertainty_score":0.9998348,"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."}}