{"id":"W6969047846","doi":"10.5281/zenodo.6153781","title":"Scolopocryptops spinicaudus Wood 1862","year":2013,"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":"","funders":"","keywords":"China; Identification (biology); Vegetation (pathology); Natural (archaeology)","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":[0.00007123013,0.000645588,0.0001997851,0.00164892,0.0007980248,0.0003215171,0.0003090989,0.0003687376,0.01403274],"category_scores_gemma":[0.0002728137,0.0001967176,0.000140702,0.001266008,0.000514214,0.0006392658,0.0005722975,0.0004031784,0.005901088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004562685,"about_ca_system_score_gemma":0.0002838536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380623,"about_ca_topic_score_gemma":0.02073844,"domain_scores_codex":[0.999891,0.000009086964,0.00001097781,0.00002666969,0.0000441991,0.00001801288],"domain_scores_gemma":[0.9998801,0.00001785285,0.00005125388,0.000009332085,0.00002787444,0.00001362171],"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":[0.0003456016,0.0001063321,0.1150262,0.001040451,0.0001175009,0.001515605,0.00131722,0.001034975,0.0167217,0.003582672,0.04444667,0.8147451],"study_design_scores_gemma":[0.00006672098,0.0001644279,0.6036818,0.0005821529,0.0001106145,0.004674539,0.001131538,0.0006912897,0.00329694,0.0007056169,0.3848661,0.00002824877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4640769,0.02442505,0.007412144,0.0007052661,0.001016968,0.0009281227,0.009767719,0.0006206905,0.4910472],"genre_scores_gemma":[0.9562944,0.007230963,0.003635705,0.0003833854,0.0002948393,0.0001622318,0.005324989,0.00005057212,0.02662294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01403274,"threshold_uncertainty_score":0.0469442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138483547017409,"score_gpt":0.3368087489414534,"score_spread":0.1983252019240444,"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."}}