{"id":"W6893917907","doi":"10.5281/zenodo.5931180","title":"Trouessartia ripariae Mironov 1983","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Far East; Central asia; Southeast asia","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":[0.00008064946,0.0002824167,0.0001304531,0.0006365248,0.0004852169,0.0002215049,0.0002471956,0.0001572744,0.008445172],"category_scores_gemma":[0.0001588883,0.0001172656,0.0001570563,0.0002439047,0.000184384,0.0003375069,0.000325241,0.0003263163,0.002902879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405169,"about_ca_system_score_gemma":0.0002131778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003050382,"about_ca_topic_score_gemma":0.0105831,"domain_scores_codex":[0.9999136,0.000008192007,0.000005717656,0.00002693598,0.00002961935,0.00001598938],"domain_scores_gemma":[0.9999094,0.00001212417,0.00003652219,0.00001160105,0.00001823105,0.00001218795],"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":[0.0005262889,0.0002854398,0.03979735,0.00111544,0.00008999405,0.004234587,0.001505785,0.0007308875,0.1817512,0.007920645,0.03000069,0.7320417],"study_design_scores_gemma":[0.0001123182,0.00055667,0.4519352,0.0003319701,0.00006271736,0.009718652,0.0007032624,0.0004776199,0.01113548,0.001078555,0.5238628,0.00002473986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4054439,0.01364572,0.004242969,0.0003431756,0.0002917105,0.0003874847,0.002294781,0.0006714308,0.5726788],"genre_scores_gemma":[0.955811,0.003014406,0.002064235,0.0001647735,0.00008471827,0.00006982998,0.002069226,0.00003228436,0.03668957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008445172,"threshold_uncertainty_score":0.02825195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969307781322116,"score_gpt":0.2078010404982375,"score_spread":0.1781079626850163,"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."}}