{"id":"W3210513213","doi":"10.5281/zenodo.3774509","title":"a-callahan/MechWolf_Pull 0.1.1","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Business","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":[0.001703729,0.002729635,0.001940759,0.003552055,0.001181061,0.004639703,0.00670033,0.003426823,0.6179321],"category_scores_gemma":[0.006150179,0.002187652,0.001705062,0.002301545,0.0009419274,0.004620275,0.005716242,0.003177441,0.7414089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556587,"about_ca_system_score_gemma":0.001141977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548739,"about_ca_topic_score_gemma":0.001007752,"domain_scores_codex":[0.9984162,0.0001341225,0.0001128341,0.0003629432,0.000716693,0.0002572002],"domain_scores_gemma":[0.996014,0.0005822474,0.00016333,0.001992932,0.0005628876,0.0006846035],"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":[0.0007995665,0.0001886405,0.0007280521,0.0009967885,0.00006346608,0.0002608121,0.0001370471,0.001291739,0.02022837,0.01736555,0.7980148,0.1599251],"study_design_scores_gemma":[0.0001116222,0.00008442341,0.0006242687,0.0001450985,0.00002451464,0.0004440872,0.00003670676,0.003256042,0.01692151,0.009750434,0.9685029,0.00009837018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002737095,0.0007515085,0.1296146,0.001036167,0.001050929,0.0004983118,0.0650064,0.6312563,0.1680487],"genre_scores_gemma":[0.02358592,0.001298722,0.07588372,0.0009439062,0.0004602832,0.001063558,0.2130653,0.4058381,0.2778607],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3820679,"threshold_uncertainty_score":0.5449734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04685238860346433,"score_gpt":0.2358748568925742,"score_spread":0.1890224682891098,"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."}}