{"id":"W6893977028","doi":"10.5281/zenodo.6533601","title":"Priocnemella hexagona","year":2022,"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":"Willow Biosciences (Canada)","funders":"","keywords":"Dorsum; National forest; State (computer science); Base (topology)","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":[0.00004617202,0.0001757861,0.00009255431,0.0002895407,0.0005191368,0.0002395989,0.0001600218,0.0001759389,0.006727695],"category_scores_gemma":[0.0001154669,0.0001227751,0.00009797992,0.0002972347,0.0001676189,0.0001692524,0.0004050168,0.0001943802,0.001254886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843769,"about_ca_system_score_gemma":0.0002381034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01489677,"about_ca_topic_score_gemma":0.03439355,"domain_scores_codex":[0.9999456,0.000005947099,0.000002579302,0.00002029255,0.00001117675,0.00001427218],"domain_scores_gemma":[0.9999496,0.000006690853,0.00001553541,0.000008029346,0.000009262349,0.00001085964],"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":[0.00106774,0.0002176322,0.2436864,0.001121057,0.00009481678,0.006313871,0.005737885,0.001468487,0.3374298,0.003381632,0.0113414,0.3881392],"study_design_scores_gemma":[0.00003482653,0.0003138808,0.8701507,0.0001517613,0.00003794358,0.003536923,0.002741864,0.0004027705,0.0089042,0.00041953,0.1132903,0.0000153327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9020769,0.001232572,0.0005906834,0.0001673331,0.00003058024,0.00007942659,0.001474477,0.000077948,0.09427019],"genre_scores_gemma":[0.9860209,0.0004882991,0.001025923,0.0001192749,0.000005316629,0.00002508112,0.000587745,0.000008014437,0.01171946],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01489677,"threshold_uncertainty_score":0.02962017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04095116830809554,"score_gpt":0.2119548733569612,"score_spread":0.1710037050488657,"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."}}