{"id":"W6950176889","doi":"10.5281/zenodo.6537021","title":"Microphorella macdonaldi, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Holotype; Seta; Dorsum; Leech; Contrast (vision)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195969,0.001140476,0.0004543937,0.001923504,0.001567516,0.0006627564,0.000984452,0.0009568225,0.01058122],"category_scores_gemma":[0.001404834,0.0004982428,0.0002951208,0.001141523,0.000600262,0.001745141,0.001302289,0.000846554,0.006075393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521585,"about_ca_system_score_gemma":0.000807112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03631423,"about_ca_topic_score_gemma":0.05250347,"domain_scores_codex":[0.9997612,0.00001616648,0.00003495768,0.00008008964,0.00006920903,0.00003839816],"domain_scores_gemma":[0.9994123,0.0000905332,0.0001974304,0.00007038116,0.0001717651,0.00005758253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000677743,0.0001391665,0.06900859,0.002742527,0.0001499342,0.006350351,0.003935545,0.00160461,0.04880726,0.002419684,0.08482505,0.7793396],"study_design_scores_gemma":[0.0001990408,0.0004011029,0.4313486,0.002020632,0.0003643555,0.014235,0.002926707,0.00126547,0.00635081,0.001217102,0.5395536,0.0001176688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5143785,0.0587031,0.01182996,0.003182099,0.003356823,0.002477099,0.01865394,0.002316474,0.385102],"genre_scores_gemma":[0.892424,0.01707954,0.02094963,0.002410334,0.0006279001,0.001419007,0.009477939,0.0001365095,0.05547527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03631423,"threshold_uncertainty_score":0.07220572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224729681797078,"score_gpt":0.217818322633743,"score_spread":0.1953453544540352,"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."}}