{"id":"W6949815539","doi":"10.5281/zenodo.5036311","title":"LIBER 2021 Session #3: Working with Software & Data","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Citation; German; Software; Data presentation; State (computer science)","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02451281,0.00202547,0.002576135,0.004302833,0.005461696,0.02068669,0.003877606,0.004976729,0.731526],"category_scores_gemma":[0.02443329,0.001245095,0.002340322,0.004570403,0.001406794,0.01130838,0.018605,0.00627765,0.65406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005449696,"about_ca_system_score_gemma":0.008737402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006150255,"about_ca_topic_score_gemma":0.006747415,"domain_scores_codex":[0.9913146,0.001531836,0.0003504061,0.001006181,0.004354251,0.001442736],"domain_scores_gemma":[0.9754993,0.003726336,0.0009702617,0.002783715,0.007248589,0.009771775],"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":[0.00004509042,0.00001230075,0.00005112914,0.00005140008,0.000001926293,0.00001462434,0.00004392291,0.00001604749,0.0001218174,0.0005312732,0.9889031,0.01020735],"study_design_scores_gemma":[0.000009919941,0.000007946411,0.0001852261,0.0000363188,8.811285e-7,0.000009263586,0.00006260136,0.00003267556,0.0000962878,0.0003339298,0.9992183,0.000006553098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001959959,0.004589599,0.01596678,0.1018533,0.06450458,0.003793498,0.1168624,0.02977374,0.6606962],"genre_scores_gemma":[0.004332143,0.001635611,0.005928254,0.01036589,0.00918312,0.003592814,0.07281974,0.01275062,0.8793918],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9793133,"threshold_uncertainty_score":0.3829455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17902577944427,"score_gpt":0.3167156451485432,"score_spread":0.1376898657042732,"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."}}