{"id":"W6930265267","doi":"10.5281/zenodo.11830155","title":"Winterberg stadtplan pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clipping (morphology); Tone (literature); Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005219675,0.001615201,0.0007757468,0.0025756,0.001636468,0.00780131,0.001581426,0.001697355,0.8931291],"category_scores_gemma":[0.002164043,0.0008045366,0.0008641615,0.002404542,0.0005919794,0.004602996,0.003110379,0.002229119,0.8328989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795342,"about_ca_system_score_gemma":0.001975964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005249747,"about_ca_topic_score_gemma":0.01181489,"domain_scores_codex":[0.9992965,0.00004027224,0.00003107563,0.0001003689,0.0004510447,0.00008067012],"domain_scores_gemma":[0.9988644,0.0001140175,0.00004406639,0.0001653622,0.0005240212,0.0002881192],"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":[0.00003085741,0.00002303042,0.00005346483,0.0001106649,0.000002165753,0.00006254029,0.00003327231,0.0001094505,0.0002320148,0.002788309,0.9385995,0.05795474],"study_design_scores_gemma":[0.000003594816,0.000005799993,0.0001014653,0.00004097713,0.000001057948,0.00004774784,0.0000237157,0.00003543026,0.0001243778,0.0004862798,0.9991255,0.000004045809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003375146,0.001103454,0.001086236,0.0007594969,0.0025112,0.0001022946,0.004898016,0.002633444,0.9865683],"genre_scores_gemma":[0.0009875405,0.0006902861,0.0004849729,0.0002182672,0.0001853265,0.00002897578,0.002316678,0.0009368652,0.9941511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1068709,"threshold_uncertainty_score":0.1524383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487477741092345,"score_gpt":0.254648189144684,"score_spread":0.2297734117337605,"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."}}