{"id":"W4394423464","doi":"10.6084/m9.figshare.23937954","title":"Column header definitions for all data files","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Header; Column (typography); Computer science; Database; Computer network","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":[0.001827732,0.002292386,0.001803671,0.005398426,0.001184352,0.00331108,0.002418721,0.001475017,0.3118699],"category_scores_gemma":[0.01631215,0.0009933141,0.001454417,0.008771166,0.000581344,0.002773202,0.001842245,0.002478482,0.2274955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631553,"about_ca_system_score_gemma":0.003282669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009393056,"about_ca_topic_score_gemma":0.01251413,"domain_scores_codex":[0.9979385,0.0002624094,0.00045948,0.00068444,0.0004001396,0.0002549934],"domain_scores_gemma":[0.9896598,0.003362795,0.0008068305,0.002180733,0.003368519,0.0006213652],"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":[0.00008643352,0.00002293813,0.0005165811,0.0005935702,0.00001600203,0.00001632674,0.00001598608,0.0001172859,0.0002450404,0.0004822071,0.9948639,0.003023672],"study_design_scores_gemma":[0.0002107822,0.00002477476,0.002099911,0.0002715232,0.00003086146,0.00008309724,0.0000737384,0.0002210487,0.0009808216,0.002171928,0.9937949,0.00003665441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005725385,0.0000381037,0.0002805367,0.00005464014,0.00004971176,0.00005105412,0.9978712,0.0006936099,0.0009039351],"genre_scores_gemma":[0.0004299351,0.00006692916,0.001395695,0.0001585778,0.00002234092,0.0003883385,0.9955019,0.00052548,0.001510737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3118699,"threshold_uncertainty_score":0.9815341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2892737162816909,"score_gpt":0.3613967167868796,"score_spread":0.07212300050518877,"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."}}