{"id":"W6931818618","doi":"10.5281/zenodo.8098073","title":"jessicastockdale/genomicSIs: v1.0.0 Nature Communcations","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Resolution (logic); Period (music); High resolution; Natural (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006074129,0.0002603382,0.0002462808,0.0007538534,0.001735774,0.001607152,0.00401318,0.0003384438,0.01122329],"category_scores_gemma":[0.0004174611,0.0002800582,0.00009101642,0.001290568,0.000153615,0.0002786467,0.003027078,0.0009154322,0.03164167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727145,"about_ca_system_score_gemma":0.00001398615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002861164,"about_ca_topic_score_gemma":0.000004713392,"domain_scores_codex":[0.9975828,0.0004227129,0.0002903914,0.0006785339,0.0005335726,0.000491985],"domain_scores_gemma":[0.9976037,0.00004264143,0.000214839,0.001466155,0.0004248421,0.0002478524],"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":[0.000002595577,0.0000697554,4.182179e-7,0.00004361461,0.00004893614,0.00000823869,0.000384138,0.00008062078,0.00002434955,0.03033653,0.9263411,0.04265972],"study_design_scores_gemma":[0.0002777084,0.0000688915,0.00003264999,0.00009757545,0.000008807868,0.00003097115,0.00005517058,0.003216789,0.000006758564,0.0003184847,0.995597,0.0002891844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002528885,0.0003021345,0.09015197,0.002495978,0.0004376212,0.0007729105,0.0003657662,0.008636821,0.8968343],"genre_scores_gemma":[0.002877051,0.00265158,0.02133957,0.001190751,0.0009340091,8.932926e-7,0.005382555,0.0384917,0.9271319],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06925593,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306462859708053,"score_gpt":0.261740132222512,"score_spread":0.2286755036254314,"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."}}