{"id":"W6931351420","doi":"10.5281/zenodo.4373407","title":"Sedum acre Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sedum; Acre; Taxon; Genus; Type (biology)","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":[0.0001856457,0.0008964511,0.0003369534,0.002081011,0.001990966,0.0004665293,0.0005937404,0.000454664,0.04581517],"category_scores_gemma":[0.0002839115,0.0001836637,0.0001586654,0.0009759254,0.0005040647,0.001518056,0.001134516,0.000747141,0.0215214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008157755,"about_ca_system_score_gemma":0.0002928165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01587786,"about_ca_topic_score_gemma":0.06261604,"domain_scores_codex":[0.9998068,0.00002426226,0.00001174694,0.00005778419,0.00007054694,0.00002884973],"domain_scores_gemma":[0.999899,0.00001150762,0.00003004234,0.000009016476,0.0000354835,0.00001493577],"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":[0.0001383562,0.00009026405,0.008687923,0.0005150301,0.00004192783,0.0006388736,0.001701893,0.0002468372,0.008241138,0.01323832,0.2482171,0.7182423],"study_design_scores_gemma":[0.00001193276,0.00003573738,0.02079006,0.00008022381,0.00000975382,0.0003850411,0.0002540195,0.0000508844,0.0002988837,0.0005973412,0.977476,0.00001014788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04147829,0.01436283,0.003010921,0.001770467,0.002283437,0.0004190595,0.007113516,0.001907793,0.9276537],"genre_scores_gemma":[0.361243,0.007647644,0.009226307,0.00358001,0.001028205,0.0004059057,0.008597449,0.0003895646,0.6078818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04581517,"threshold_uncertainty_score":0.153267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158897691912673,"score_gpt":0.2544166324717728,"score_spread":0.2228276555526461,"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."}}