{"id":"W6894345886","doi":"10.5446/47592","title":"Will you be my bf: forever? Analysing Techniques for Conversion to BIBFRAME","year":2017,"lang":"en","type":"other","venue":"TIB KMO / FLOWWORKS GmbH","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; XSLT; Aside; Vendor; Data transformation; Data conversion; Linked data","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009953096,0.00127743,0.001727156,0.002378626,0.0004648637,0.0004178699,0.001906412,0.001932802,0.002745844],"category_scores_gemma":[0.0004282785,0.001268497,0.0008287578,0.0008157536,0.0003196792,0.0005107126,0.0005681898,0.0008351014,0.002794474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006353941,"about_ca_system_score_gemma":0.0001971158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000858966,"about_ca_topic_score_gemma":0.0007272974,"domain_scores_codex":[0.9952684,0.000132486,0.0006371373,0.001663072,0.0009264718,0.001372418],"domain_scores_gemma":[0.994799,0.000150105,0.001121555,0.003091267,0.0003037924,0.0005342712],"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":[0.0001988691,0.00008842166,0.0001019889,0.0002482294,0.0004923881,0.00002726161,0.0001343581,0.00001163648,0.0008180593,0.0001325824,0.9732974,0.02444882],"study_design_scores_gemma":[0.0008183814,0.0001975051,0.00001866638,0.002745565,0.0007528926,0.00001070334,0.00004580652,0.0007404955,0.001815152,0.000268164,0.9910545,0.001532141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002063925,0.00283708,0.1080903,0.001150017,0.002430795,0.009652712,0.004283737,0.007038836,0.8643101],"genre_scores_gemma":[0.002195266,0.0002420048,0.05497668,0.000968277,0.003177365,0.0004816853,0.001734205,0.004733383,0.9314911],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06718095,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252347379730156,"score_gpt":0.3099246950913605,"score_spread":0.2874012212940589,"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."}}