{"id":"W6894022822","doi":"10.5281/zenodo.8036260","title":"Microphorella amorimi Brooks & Cumming 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Holotype; Seta; Ommatidium; Thorax (insect anatomy); Dorsum; Sternum","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":[0.0003079523,0.001550576,0.0005716093,0.002239273,0.002075157,0.0007536716,0.001132941,0.00154118,0.008159046],"category_scores_gemma":[0.001372665,0.0005971885,0.0004437598,0.001782144,0.0006269296,0.002590905,0.001094662,0.001466961,0.005329374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433203,"about_ca_system_score_gemma":0.0009927663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084181,"about_ca_topic_score_gemma":0.03144874,"domain_scores_codex":[0.9997284,0.0000182778,0.00003559769,0.0001098244,0.00005510855,0.00005278033],"domain_scores_gemma":[0.9993166,0.0001264112,0.0002771966,0.00008444866,0.0001324303,0.0000629054],"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":[0.0009861295,0.0002963722,0.07342517,0.002998091,0.0002620507,0.007549897,0.003457104,0.003237024,0.0513125,0.003279349,0.0753708,0.7778256],"study_design_scores_gemma":[0.000284466,0.0007069392,0.4963053,0.002867517,0.0006177316,0.01949032,0.003984899,0.001986758,0.006330237,0.001548475,0.4657011,0.0001763195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5980802,0.07203382,0.02602058,0.004244838,0.00496001,0.003890405,0.0446103,0.002648269,0.2435116],"genre_scores_gemma":[0.85773,0.02553561,0.04733439,0.004717868,0.0009253011,0.003668934,0.01611688,0.000162282,0.04380879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02084181,"threshold_uncertainty_score":0.04144096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412936649229239,"score_gpt":0.2537717365200137,"score_spread":0.2296423700277213,"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."}}