{"id":"W4361286769","doi":"10.53458/sh.v56i2.5807","title":"\"Lauter Riedlinger\"","year":2023,"lang":"de","type":"article","venue":"Schwäbische Heimat","topic":"Ecology, Conservation, and Geographical Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008140591,0.0003587804,0.0003856614,0.0001300482,0.0008794314,0.0001178798,0.000479255,0.0002984853,0.003988149],"category_scores_gemma":[0.000241389,0.0003254668,0.0002272065,0.00154626,0.0008410229,0.0002769468,0.0007333947,0.0004347544,0.06566569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006674867,"about_ca_system_score_gemma":0.00002625149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002777453,"about_ca_topic_score_gemma":0.0003617176,"domain_scores_codex":[0.9971702,0.0001549987,0.000477646,0.0007374401,0.0004807836,0.0009789482],"domain_scores_gemma":[0.9987596,0.0003035008,0.0001352029,0.0005205229,0.00003260482,0.0002486244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000300077,0.0001290073,0.6438825,0.00006501116,0.0002516108,0.00006180021,0.0008753639,0.000123563,0.0007154069,0.001212583,0.348219,0.004434131],"study_design_scores_gemma":[0.0003124155,0.00007299393,0.4934109,0.00003021065,0.0000884356,0.000001655931,0.0001992608,0.0008245488,0.0002161302,0.002729494,0.5017846,0.0003294075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263257,0.00745869,0.00007211683,0.04462193,0.005301338,0.0007024109,0.00009811764,0.0007181336,0.0147015],"genre_scores_gemma":[0.9557478,0.01279918,0.001026421,0.005589241,0.001424899,0.0001817848,0.0001391884,0.0001022339,0.02298923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535655,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216300887672071,"score_gpt":0.2502142488046507,"score_spread":0.2280512399279299,"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."}}