{"id":"W6931241193","doi":"10.5281/zenodo.3867921","title":"Leptoiulus oribates","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Natural (archaeology); Action (physics)","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":[0.0001561547,0.0006230497,0.0002769716,0.002144853,0.001607465,0.0006737688,0.000493668,0.0004576294,0.01482782],"category_scores_gemma":[0.0005947905,0.0002576856,0.0002428524,0.00112617,0.0006629264,0.0009611699,0.001056192,0.0006251772,0.00529304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007859797,"about_ca_system_score_gemma":0.0004422235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01338335,"about_ca_topic_score_gemma":0.02676856,"domain_scores_codex":[0.9997695,0.00001946141,0.00001823054,0.00006657081,0.00008250406,0.00004375765],"domain_scores_gemma":[0.9996953,0.00005509044,0.0001411175,0.00001615904,0.00005615177,0.00003623371],"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":[0.0009396396,0.0001267535,0.08546139,0.0008641197,0.00006942632,0.003054744,0.002633533,0.000653471,0.06794987,0.005294485,0.02864468,0.804308],"study_design_scores_gemma":[0.00007971056,0.0002822705,0.5469877,0.0004128668,0.0001014278,0.004990141,0.002100321,0.0005992225,0.00572988,0.001594998,0.4370644,0.00005712592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.508314,0.02204052,0.007248704,0.0009272352,0.0007648101,0.0005266416,0.008604307,0.001072436,0.4505013],"genre_scores_gemma":[0.9444233,0.003525967,0.004957797,0.0005491962,0.0002808422,0.0002807645,0.006127851,0.00006871302,0.03978543],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01482782,"threshold_uncertainty_score":0.049604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04495941424074139,"score_gpt":0.2609594661041425,"score_spread":0.2160000518634011,"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."}}