{"id":"W6931215941","doi":"10.5281/zenodo.5609353","title":"Anarhichas denticulatus Kroyer 1845","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Beaufort sea; The arctic; Norwegian; Holotype; Beaufort scale","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":[0.0001734409,0.0003840247,0.0002956796,0.00168374,0.0013646,0.000452539,0.0004283272,0.0004937041,0.0125211],"category_scores_gemma":[0.0006071664,0.000309848,0.0002235984,0.0008315643,0.0006704697,0.0007689818,0.0007981627,0.0003907918,0.005731162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007783374,"about_ca_system_score_gemma":0.0004090838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03868541,"about_ca_topic_score_gemma":0.1091501,"domain_scores_codex":[0.9996581,0.00001615139,0.00002820727,0.0001464549,0.0001104873,0.00004055232],"domain_scores_gemma":[0.9997131,0.00003576412,0.0001211977,0.00002734218,0.00007687172,0.00002564734],"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":[0.0004382893,0.0001342068,0.1855403,0.00171876,0.000168744,0.001285939,0.002795805,0.001282319,0.05765304,0.002641464,0.02304327,0.7232978],"study_design_scores_gemma":[0.00002514923,0.0001584258,0.8165715,0.0003389152,0.0001272837,0.002075134,0.001616859,0.0003052155,0.003022478,0.0004930067,0.1752395,0.00002645256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6230122,0.01014987,0.006328223,0.0004303529,0.0005461427,0.0003320547,0.008100186,0.0009301743,0.3501707],"genre_scores_gemma":[0.9561169,0.002313121,0.004952332,0.000279844,0.00009245347,0.00008901183,0.002746488,0.00009015938,0.03331961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03868541,"threshold_uncertainty_score":0.07692045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927623324940403,"score_gpt":0.2158501295197509,"score_spread":0.1865738962703469,"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."}}