{"id":"W6949932556","doi":"10.5281/zenodo.3932893","title":"nextcloud/android: 3.12.1","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Health Education and Validation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Backup; Hang; Crash; Work (physics); Key (lock)","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":[0.002091792,0.00428718,0.001847445,0.002495232,0.001164556,0.003735953,0.003316335,0.003151393,0.4252479],"category_scores_gemma":[0.01391486,0.0024548,0.001468224,0.0008395939,0.0009187221,0.006274785,0.006360381,0.0028136,0.6167191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140429,"about_ca_system_score_gemma":0.00152556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00648054,"about_ca_topic_score_gemma":0.005388783,"domain_scores_codex":[0.9984023,0.0001963408,0.000131939,0.0002535729,0.0005776476,0.0004381643],"domain_scores_gemma":[0.9954325,0.0007269842,0.0002287433,0.001059942,0.001977094,0.0005746872],"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":[0.0002937003,0.00002535889,0.0003035046,0.0003932709,0.00001370603,0.0001098762,0.0001398645,0.0001022534,0.001201738,0.001296304,0.9604544,0.03566585],"study_design_scores_gemma":[0.0001275428,0.00005685564,0.001304406,0.0003672788,0.00002495506,0.0002717379,0.00006159731,0.0008712416,0.003554437,0.00215367,0.9910753,0.0001310022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001256523,0.001332528,0.01938036,0.001078498,0.000855565,0.0008933099,0.03710479,0.7666476,0.1714507],"genre_scores_gemma":[0.02661326,0.001716045,0.01945476,0.004728897,0.0006963469,0.002537621,0.08181223,0.5312344,0.3312065],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4252479,"threshold_uncertainty_score":0.8198141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154486392815989,"score_gpt":0.3500906741798116,"score_spread":0.2346420348982127,"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."}}