{"id":"W6893765421","doi":"10.5281/zenodo.4579080","title":"Argyrotheca Dall 1900","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genus; Type (biology); Natural (archaeology); Identification (biology); Class (philosophy)","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":[0.000121848,0.001173057,0.0005917955,0.001826767,0.001485435,0.0004636392,0.0006953066,0.000645179,0.01385844],"category_scores_gemma":[0.0004502757,0.0002315804,0.0001831485,0.0008640914,0.0004428006,0.001323587,0.0008350923,0.0005739054,0.003348079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007942001,"about_ca_system_score_gemma":0.0008025714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00979029,"about_ca_topic_score_gemma":0.01111289,"domain_scores_codex":[0.999814,0.00001811336,0.00001797388,0.00006766201,0.00005000945,0.0000322583],"domain_scores_gemma":[0.9998035,0.00003159726,0.00007841374,0.00001338027,0.00005295654,0.0000202622],"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":[0.0009378291,0.0001851398,0.01913749,0.00255763,0.0001306898,0.002969897,0.001554811,0.00309957,0.0524234,0.009601139,0.07384072,0.8335616],"study_design_scores_gemma":[0.0001441191,0.0001664775,0.0572056,0.0003383053,0.0001019899,0.002731594,0.0006180567,0.000816984,0.002534278,0.001401773,0.9338973,0.00004351972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3060734,0.06229028,0.0168408,0.002340417,0.003229594,0.00142006,0.01282949,0.002978169,0.5919978],"genre_scores_gemma":[0.8979409,0.02057363,0.01104828,0.001130334,0.001147848,0.0005032792,0.004507566,0.0001426013,0.06300558],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01385844,"threshold_uncertainty_score":0.04636109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019652743564415,"score_gpt":0.2128839181616642,"score_spread":0.1932311745972492,"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."}}