{"id":"W4394020189","doi":"10.5281/zenodo.10293410","title":"CARTAGENA","year":2018,"lang":"cy","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Archaeological and Historical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005814946,0.0004612791,0.0005286407,0.0002701802,0.01564108,0.001342631,0.002120571,0.0002187718,0.287752],"category_scores_gemma":[0.0007555165,0.0004050159,0.0002026118,0.0002306466,0.002454689,0.0001956736,0.005096882,0.0007768157,0.1243123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392837,"about_ca_system_score_gemma":0.000004526359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924807,"about_ca_topic_score_gemma":0.00001793154,"domain_scores_codex":[0.9965504,0.0005169715,0.0005500193,0.0008969317,0.0006625011,0.0008231727],"domain_scores_gemma":[0.9974518,0.00006346624,0.00028111,0.0007693993,0.001084599,0.0003496687],"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":[0.00008008603,0.0002641534,1.287859e-7,0.0001940911,0.0001556152,0.00004192938,0.005067597,5.493667e-7,0.000009261377,0.01528091,0.9670253,0.01188038],"study_design_scores_gemma":[0.0003335807,0.001085501,0.00001913064,0.00007532135,0.0000982797,0.00003374961,0.0007006751,0.000007792672,0.000004344366,0.0007096056,0.9964289,0.0005031052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002070398,0.001113725,0.00005635187,0.001178736,0.0009691945,0.0006224447,0.7148907,0.000727047,0.2802348],"genre_scores_gemma":[0.004800392,0.002336104,0.0000395315,0.0005817137,0.004717958,1.019115e-7,0.965479,0.001984881,0.02006029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2601745,"threshold_uncertainty_score":0.9998402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764454456657913,"score_gpt":0.2410278391324126,"score_spread":0.1733832945658335,"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."}}