{"id":"W6931849738","doi":"10.5281/zenodo.8036268","title":"Microphorella irwini Brooks & Cumming 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Holotype; Seta; Thorax (insect anatomy); Wing; Paratype; 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":[0.0002685571,0.001584819,0.0005843042,0.001934499,0.001643745,0.0008164303,0.001289578,0.00114521,0.008709433],"category_scores_gemma":[0.001266987,0.0005791285,0.0003189347,0.001838769,0.0005725062,0.002462075,0.001162609,0.001367603,0.004715309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484325,"about_ca_system_score_gemma":0.0008969555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03476596,"about_ca_topic_score_gemma":0.05216693,"domain_scores_codex":[0.9997304,0.0000176237,0.00003346557,0.0001111612,0.00005941014,0.00004783565],"domain_scores_gemma":[0.9995373,0.00008170395,0.0001672059,0.00006791361,0.0000935,0.00005230055],"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":[0.0007687887,0.0001306991,0.04937172,0.002438551,0.0001946159,0.004758934,0.003880469,0.001511423,0.04293955,0.002514513,0.07052715,0.8209636],"study_design_scores_gemma":[0.0002537433,0.000548904,0.4563347,0.003383981,0.0007659336,0.01694492,0.004938052,0.001463065,0.009730506,0.001676044,0.5037786,0.0001814974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5138118,0.06405108,0.01428236,0.002687795,0.004269462,0.002303874,0.02499171,0.002228957,0.371373],"genre_scores_gemma":[0.8959663,0.01909089,0.02624687,0.002495134,0.0006965063,0.001794069,0.00920485,0.0001827441,0.04432268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03476596,"threshold_uncertainty_score":0.0691272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1620502896167846,"score_gpt":0.3447174762780789,"score_spread":0.1826671866612943,"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."}}