{"id":"W6969101578","doi":"10.5281/zenodo.6425035","title":"Stenaelurillus marusiki Logunov 2001","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Carapace; Population; Holotype; White (mutation); Morphology (biology)","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":[0.0000580612,0.0003372898,0.0002214901,0.001437391,0.0008998231,0.0003280497,0.0003619156,0.000296684,0.008413861],"category_scores_gemma":[0.0002077422,0.0001903365,0.0001466988,0.0006008329,0.000318639,0.000736204,0.0006992442,0.0003739658,0.002619768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984776,"about_ca_system_score_gemma":0.0002320915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175881,"about_ca_topic_score_gemma":0.003937694,"domain_scores_codex":[0.9999123,0.000006199303,0.0000110302,0.000023345,0.00003585571,0.00001121474],"domain_scores_gemma":[0.9999349,0.000008768752,0.00002951413,0.000006099845,0.00001284377,0.000007774762],"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":[0.0006723606,0.0003088574,0.04485349,0.001600108,0.00008106045,0.005831554,0.002405658,0.001764994,0.08418564,0.005624379,0.03042118,0.8222508],"study_design_scores_gemma":[0.0001084006,0.0006664277,0.5450093,0.0006880901,0.0001277976,0.02500341,0.002511186,0.002087028,0.01561299,0.002585822,0.4055099,0.00008970605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6906125,0.005821082,0.005600687,0.0004743561,0.0003326533,0.0002884261,0.002542634,0.000779576,0.2935481],"genre_scores_gemma":[0.9640425,0.001842325,0.003690628,0.0002086257,0.00009113392,0.00009481228,0.002123581,0.00004178424,0.02786463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008413861,"threshold_uncertainty_score":0.02814716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928708490694485,"score_gpt":0.2658698805463826,"score_spread":0.2165827956394377,"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."}}