{"id":"W4393487193","doi":"10.5281/zenodo.10294710","title":"19th Century Telegraph Key","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0008333442,0.0003348578,0.0003311826,0.0007153763,0.004858173,0.002780884,0.01385192,0.0002903661,0.001839611],"category_scores_gemma":[0.001365954,0.0003607712,0.0001226612,0.0004706219,0.0004539699,0.0004637456,0.009003283,0.0009493,0.02586759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250983,"about_ca_system_score_gemma":0.0000149491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046774,"about_ca_topic_score_gemma":6.551194e-7,"domain_scores_codex":[0.9970928,0.0003054207,0.0003339634,0.0009484181,0.0007087557,0.0006106149],"domain_scores_gemma":[0.9952166,0.00003371697,0.0004266785,0.003628168,0.0005044143,0.0001903844],"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":[0.00000504717,0.00006925187,5.977402e-8,0.00006360674,0.00003184044,0.00005778289,0.0001023851,0.000003035725,0.00001984077,0.001846737,0.9358723,0.06192817],"study_design_scores_gemma":[0.0001995395,0.0001611375,0.00002495179,0.00007943605,0.00001270587,0.0001381823,0.00001116228,0.00009642253,0.00001619603,0.0004175279,0.9984649,0.0003777718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000358101,0.0006812642,0.01670598,0.001779534,0.001715613,0.0007911395,0.9392012,0.007488606,0.0316008],"genre_scores_gemma":[0.0003182991,0.0005328922,0.003772444,0.0001711688,0.0002799224,4.904042e-8,0.9933197,0.001029963,0.0005755759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06259272,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263546145388936,"score_gpt":0.254387545015587,"score_spread":0.2217520835616977,"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."}}