{"id":"W1794416110","doi":"10.36900/suburban.v2i1.121","title":"Von der Melkmaschine St. Pauli zu Utopia? St. Pauli selber machen!","year":2014,"lang":"de","type":"article","venue":"sub\\urban zeitschrift für kritische stadtforschung","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Paul University","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.001040191,0.0003455926,0.0002234264,0.00039391,0.009971428,0.006648818,0.0003542798,0.002057644,0.01453279],"category_scores_gemma":[0.002086147,0.0003365992,0.0001620407,0.0007594856,0.007026964,0.005102672,0.003428348,0.005042734,0.001924052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00820828,"about_ca_system_score_gemma":0.006016055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08115576,"about_ca_topic_score_gemma":0.2109963,"domain_scores_codex":[0.998784,0.000513285,0.00002135386,0.0001341079,0.0002247935,0.0003224516],"domain_scores_gemma":[0.9992379,0.0002138608,0.00006617294,0.00003611397,0.0001607977,0.0002851448],"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":[0.00004764093,0.00002470735,0.002575258,0.0001850139,0.00001222753,0.0006563404,0.2294511,0.00005996519,0.0006783704,0.2308079,0.5001335,0.03536805],"study_design_scores_gemma":[0.000003875311,0.00001108551,0.002413585,0.0001860812,0.000002573434,0.00009700473,0.05891608,0.00002281815,0.0001313759,0.003454981,0.9347485,0.00001197928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0663376,0.02615008,0.001094171,0.499237,0.006219571,0.00006030641,0.0002622123,0.00005025362,0.4005888],"genre_scores_gemma":[0.555913,0.01685874,0.0009996642,0.07568421,0.001385335,0.00008732019,0.0001807626,0.0001445798,0.3487464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08115576,"threshold_uncertainty_score":0.1613668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009276031437140888,"score_gpt":0.218329739753596,"score_spread":0.2090537083164551,"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."}}