{"id":"W4394028805","doi":"10.5281/zenodo.8296560","title":"T-Factor. WP2 Dataset: Advanced Case Study Interviews for Dortmunder U and Union Quarter","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Quarter (Canadian coin); Work (physics); R package; Statistics; Engineering; Geography; Mathematics; Archaeology; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001846452,0.00137845,0.0007722887,0.004118737,0.0007414843,0.001678737,0.00203933,0.002128658,0.05523252],"category_scores_gemma":[0.008564916,0.0006793539,0.0008991676,0.007253951,0.0003826609,0.0008671879,0.002084731,0.001372396,0.0399449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158684,"about_ca_system_score_gemma":0.002721471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03685481,"about_ca_topic_score_gemma":0.05927628,"domain_scores_codex":[0.9986563,0.0003635635,0.0002155943,0.000247248,0.0003165793,0.0002007042],"domain_scores_gemma":[0.9955038,0.002107824,0.0004453006,0.0007866236,0.0008759426,0.0002805844],"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":[0.00007574159,0.00004201538,0.001448182,0.001038117,0.00002968053,0.00006961704,0.0002046038,0.000558752,0.0001915342,0.0008996531,0.9903811,0.005061122],"study_design_scores_gemma":[0.0001979374,0.00002361651,0.009516758,0.0006513707,0.00002845168,0.00006848303,0.0007145223,0.0005217728,0.0003523643,0.001274854,0.9866129,0.00003688897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002676115,0.00002463838,0.0001272086,0.00004948271,0.00001147193,0.00002499372,0.9988361,0.0001020193,0.0005565509],"genre_scores_gemma":[0.0006306875,0.00003738038,0.0004868761,0.00002797118,0.000004077858,0.000329612,0.9977549,0.00004947626,0.0006790214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05523252,"threshold_uncertainty_score":0.1847712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045573036628186,"score_gpt":0.3531956209380797,"score_spread":0.248638317275261,"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."}}