{"id":"W6968756132","doi":"10.5281/zenodo.5592971","title":"Atrichopogon Kieffer","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Apex (geometry); Dorsum; Sensillum; Appendage; Air sacs; Apposition","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":[],"consensus_categories":[],"category_scores_codex":[0.00007735303,0.0003752184,0.0002005644,0.001731573,0.0007126979,0.0003437528,0.0004320796,0.0003203789,0.01553707],"category_scores_gemma":[0.0002136648,0.0001436718,0.0002294317,0.000632236,0.0002347246,0.0006632114,0.0005505988,0.0003501227,0.004538057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000400259,"about_ca_system_score_gemma":0.0001593214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367747,"about_ca_topic_score_gemma":0.008786913,"domain_scores_codex":[0.9998974,0.000007110752,0.000007814014,0.00003181765,0.0000366061,0.00001918216],"domain_scores_gemma":[0.9999412,0.000006375946,0.00001676477,0.00000842603,0.00001928951,0.000007852217],"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":[0.0004626891,0.0001559832,0.0189426,0.0004749633,0.00005620582,0.002396466,0.0008144559,0.001160379,0.1489419,0.00784211,0.0116514,0.8071008],"study_design_scores_gemma":[0.0001003613,0.0009045374,0.3291613,0.0004255785,0.0002425641,0.01475794,0.001323777,0.004590008,0.0338566,0.00349261,0.6110321,0.0001125161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5954736,0.004735975,0.008073921,0.0004927487,0.0003012292,0.0002054613,0.001897093,0.001091091,0.3877288],"genre_scores_gemma":[0.935534,0.001149441,0.005968719,0.0003321737,0.00005491884,0.00004919828,0.001534463,0.00004593356,0.05533127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553707,"threshold_uncertainty_score":0.05197662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220520950686839,"score_gpt":0.239734664272565,"score_spread":0.2175294547656966,"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."}}