{"id":"W7029907141","doi":"","title":"Merkuriusz : SPK Toronto. 2016 nr 24 (wrzesień)","year":2016,"lang":"pl","type":"other","venue":"Mazowiecka Biblioteka Cyfrowa (Biblioteka Publiczna m.st. Warszawy)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identification (biology); Term (time)","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","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01519637,0.01982594,0.01649511,0.2152473,0.003966135,0.02034504,0.02630106,0.01925095,0.5612711],"category_scores_gemma":[0.005753417,0.01808105,0.009898746,0.1638207,0.006682783,0.02508042,0.01141876,0.0116483,0.3699694],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01286821,"about_ca_system_score_gemma":0.01303638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01830306,"about_ca_topic_score_gemma":0.02233795,"domain_scores_codex":[0.9166374,0.007442387,0.0139112,0.02021817,0.01900514,0.02278574],"domain_scores_gemma":[0.9374339,0.003991917,0.01367244,0.02450836,0.007207197,0.0131862],"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":[0.002732554,0.005442679,0.002772666,0.002193077,0.008830513,0.001537634,0.0005812023,0.00001699444,0.009517074,0.00598469,0.926102,0.03428896],"study_design_scores_gemma":[0.0201954,0.002129134,0.004172805,0.008804382,0.003875436,0.001146725,0.0004739417,0.000270479,0.003050989,0.002630587,0.9324234,0.02082676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001242463,0.1185926,0.00192675,0.01578612,0.03584927,0.01466622,0.04444396,0.01227834,0.7552142],"genre_scores_gemma":[0.005343194,0.1329942,0.004581658,0.005807679,0.02763261,0.002708801,0.007342341,0.02324899,0.7903405],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1913017,"threshold_uncertainty_score":0.9983152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389027595933883,"score_gpt":0.2767389295406941,"score_spread":0.2528486535813553,"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."}}