{"id":"W4394501563","doi":"10.6084/m9.figshare.22581739","title":"Estimated code","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Code (set theory); Computer science; Programming language","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":[0.002277188,0.002783678,0.001806564,0.003426391,0.00174758,0.003524273,0.003347336,0.001243494,0.1787148],"category_scores_gemma":[0.01298282,0.001209215,0.002527547,0.004364802,0.0009647425,0.003003826,0.003121265,0.004067392,0.300384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017853,"about_ca_system_score_gemma":0.003166712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006559276,"about_ca_topic_score_gemma":0.01427805,"domain_scores_codex":[0.9976084,0.0003130687,0.0002439456,0.0009675626,0.0006063364,0.00026067],"domain_scores_gemma":[0.9936711,0.001179013,0.0002109427,0.002765315,0.001733795,0.0004397837],"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":[0.0001673654,0.00004098717,0.0007138641,0.000341632,0.00002260321,0.00001892351,0.00003130696,0.000521809,0.0004556676,0.001510528,0.9806954,0.01547979],"study_design_scores_gemma":[0.0002434487,0.00005240472,0.002215782,0.0002400917,0.0000426462,0.0001200202,0.00008439705,0.00484302,0.003642215,0.0136008,0.9748604,0.00005481884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001632312,0.000323063,0.01333087,0.0005288056,0.0007382514,0.000391136,0.8908007,0.07681042,0.0154444],"genre_scores_gemma":[0.003849206,0.0002300828,0.02407836,0.0006138268,0.0001123199,0.001357705,0.9380282,0.02085887,0.01087143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8212852,"threshold_uncertainty_score":0.5978607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052376324389803,"score_gpt":0.3419248561579997,"score_spread":0.2366872237190195,"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."}}