{"id":"W6968388389","doi":"10.5281/zenodo.4926405","title":"cookiejar/cookietemple: 1.3.7 🌈","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Product (mathematics); Object (grammar); Process (computing); Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.003837839,0.00445719,0.002092936,0.002442967,0.001217277,0.00523268,0.006764344,0.003225833,0.4681093],"category_scores_gemma":[0.02046241,0.006398553,0.003899843,0.001827161,0.0012901,0.009813894,0.006424495,0.005719867,0.4990727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347985,"about_ca_system_score_gemma":0.001776027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007189954,"about_ca_topic_score_gemma":0.004864039,"domain_scores_codex":[0.9963976,0.0004798574,0.000282495,0.0009060248,0.001418413,0.0005157141],"domain_scores_gemma":[0.9888787,0.002520074,0.0004760634,0.004813594,0.002775621,0.0005360003],"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":[0.0003243879,0.00004286838,0.000580976,0.0003600576,0.00004787291,0.00006511225,0.0001410349,0.0003402427,0.00120894,0.00349073,0.9631011,0.03029674],"study_design_scores_gemma":[0.0001228108,0.00002543339,0.0009312815,0.0001447138,0.00003324804,0.0001839006,0.00003661787,0.001837215,0.008235988,0.004251583,0.9840376,0.000159541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005661825,0.0001455798,0.02986485,0.0003349072,0.0003632264,0.0001229825,0.01828841,0.9239262,0.0263876],"genre_scores_gemma":[0.00703235,0.0001702465,0.01225091,0.0007224063,0.0001512727,0.0002384186,0.03546911,0.8814394,0.06252589],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5318907,"threshold_uncertainty_score":0.7586775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04628467120078124,"score_gpt":0.2647685276515162,"score_spread":0.2184838564507349,"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."}}