{"id":"W6931538074","doi":"10.5281/zenodo.6537019","title":"Microphorella breviradia, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Numerical control; Cnc milling; Blinded study; Tool path","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":[0.0004527157,0.001682441,0.0009503261,0.003369939,0.002832508,0.001565839,0.001526986,0.001869604,0.01189022],"category_scores_gemma":[0.001844193,0.000763193,0.0005922159,0.002904052,0.000896788,0.003647099,0.001837988,0.001587162,0.01006342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380994,"about_ca_system_score_gemma":0.0008483362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680055,"about_ca_topic_score_gemma":0.0448011,"domain_scores_codex":[0.9993492,0.00005104594,0.00008536316,0.0002275038,0.0001856929,0.0001011521],"domain_scores_gemma":[0.9991849,0.0001484869,0.0002028124,0.0001278044,0.0002497243,0.00008615605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009845636,0.0002460043,0.06103761,0.004605988,0.0003416868,0.00668287,0.00451158,0.00310635,0.06847471,0.002572465,0.08286636,0.7645698],"study_design_scores_gemma":[0.000159509,0.0003877101,0.2629818,0.003273773,0.0006068714,0.01516587,0.004873837,0.001462643,0.00871097,0.001421283,0.7007932,0.0001625737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3097622,0.1135986,0.02729661,0.006017963,0.006962074,0.003734081,0.05191045,0.004124662,0.4765932],"genre_scores_gemma":[0.7905171,0.04418266,0.04932444,0.004905324,0.0009515074,0.002520137,0.0334118,0.0003999997,0.07378703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02680055,"threshold_uncertainty_score":0.05328912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695577947206731,"score_gpt":0.1956522018164039,"score_spread":0.1786964223443366,"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."}}