{"id":"W6968603820","doi":"10.5281/zenodo.3458053","title":"Table S1.","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Table (database); Set (abstract data type); Data set; Column (typography)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001929674,0.001480179,0.001823767,0.005240305,0.002050984,0.002653553,0.0027359,0.001356492,0.8026431],"category_scores_gemma":[0.02986974,0.0008695865,0.0008516865,0.01033484,0.0005964956,0.001720795,0.001405943,0.001944275,0.4179903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153019,"about_ca_system_score_gemma":0.003989365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036831,"about_ca_topic_score_gemma":0.01268748,"domain_scores_codex":[0.9985749,0.0001957747,0.0002109608,0.0004005938,0.0004681857,0.0001496812],"domain_scores_gemma":[0.9819388,0.01054187,0.001121241,0.001904162,0.003740978,0.0007529263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002701337,0.00008887512,0.002068955,0.002410471,0.00006611854,0.00006269351,0.00008439964,0.0012783,0.0006045618,0.002655155,0.9743688,0.01604149],"study_design_scores_gemma":[0.0004778348,0.0001349612,0.007087383,0.0008944966,0.0001018689,0.0001979636,0.0002761632,0.0009481109,0.0006686908,0.01189848,0.9772437,0.00007028008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002378621,0.00008182758,0.0005627465,0.0001028869,0.00009304603,0.0000884832,0.9949974,0.0003788063,0.003456956],"genre_scores_gemma":[0.003226472,0.0003708677,0.00370496,0.0005368447,0.00008093232,0.0008155491,0.978555,0.0005947786,0.01211462],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1973569,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293164401176285,"score_gpt":0.2143100913671543,"score_spread":0.2013784473553914,"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."}}