{"id":"W3123338883","doi":"10.1055/a-1333-5550","title":"Gemeinsam die digitale Zukunft gestalten","year":2021,"lang":"de","type":"article","venue":"Pneumologie","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Medicine; Political science; Gynecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001893824,0.0006377228,0.000577089,0.0015654,0.001816073,0.009335503,0.0007704429,0.002204212,0.09555874],"category_scores_gemma":[0.009526921,0.0003492328,0.0005470354,0.00166184,0.001872794,0.01071172,0.005825215,0.003434185,0.03587951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314688,"about_ca_system_score_gemma":0.002531825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522259,"about_ca_topic_score_gemma":0.001294463,"domain_scores_codex":[0.9974947,0.0006297034,0.000135198,0.0003376439,0.001087411,0.0003153612],"domain_scores_gemma":[0.9958331,0.001309087,0.0003336868,0.000985056,0.0008741281,0.0006650277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001963872,0.0001739735,0.002771019,0.001001409,0.00008097953,0.0005246788,0.002319606,0.001276804,0.005126582,0.1275928,0.2464628,0.612473],"study_design_scores_gemma":[0.00001533514,0.00005388652,0.001518796,0.0005682778,0.00001941301,0.0004418254,0.001000978,0.0004450733,0.001276982,0.03228528,0.9623404,0.0000338482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02746412,0.02638094,0.05465552,0.09110794,0.008921619,0.0002939424,0.002826095,0.003246171,0.7851037],"genre_scores_gemma":[0.4124472,0.05974407,0.04842087,0.02425253,0.006893744,0.0006589182,0.004526863,0.001719651,0.4413362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09555874,"threshold_uncertainty_score":0.3196758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07114826018799238,"score_gpt":0.3339429866712183,"score_spread":0.2627947264832259,"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."}}