{"id":"W4412261314","doi":"","title":"Nea tis ellinikis chloridasi Peraitero prosthikes sti chlorida tis Aeginas","year":2012,"lang":"","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.003107259,0.0006414231,0.001125746,0.0002337852,0.002862292,0.00008850764,0.003242448,0.0004452312,0.8520507],"category_scores_gemma":[0.0000996346,0.0006732791,0.0007881406,0.001788044,0.005510805,0.002126643,0.004524135,0.001106879,0.2608559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903218,"about_ca_system_score_gemma":0.000178576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008345909,"about_ca_topic_score_gemma":0.001076483,"domain_scores_codex":[0.9928821,0.0008738209,0.0004979214,0.001087145,0.00260358,0.002055418],"domain_scores_gemma":[0.9956343,0.0005902621,0.0006170774,0.001586666,0.0001537862,0.00141794],"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":[0.001450528,0.00100578,0.0006450534,0.0001963429,0.0006087929,0.0001365809,0.01030257,0.000309944,0.07908073,0.00003200759,0.8919218,0.01430994],"study_design_scores_gemma":[0.001601031,0.000662671,0.09854144,0.0001531681,0.0005262365,0.00002575279,0.01145583,0.0006142436,0.03881092,0.000005838421,0.8468788,0.0007240183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753291,0.008114485,0.0003303396,0.001696892,0.0001575521,0.001243874,0.0005985303,0.00002857099,0.1125007],"genre_scores_gemma":[0.6218528,0.002449409,0.0002356404,0.00003900182,0.00006656726,1.938703e-7,0.00007892165,0.00003420236,0.3752433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5911947,"threshold_uncertainty_score":0.9995719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334221369095406,"score_gpt":0.2632604538779622,"score_spread":0.2199182401870081,"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."}}