{"id":"W7032839246","doi":"","title":"Ostraka in the British Library","year":2007,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Chemical synthesis and pharmacological studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Exposition (narrative); Subject (documents)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003426154,0.0002790404,0.0002888651,0.00006755042,0.0002015075,0.0003349148,0.001270968,0.000168489,0.004616992],"category_scores_gemma":[0.00002695627,0.0001871472,0.0002400915,0.0003431778,0.0003548879,0.00008786972,0.0004149373,0.0005535351,0.0001801408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003423265,"about_ca_system_score_gemma":0.00003614428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008229658,"about_ca_topic_score_gemma":0.0003423493,"domain_scores_codex":[0.9988517,0.00002722868,0.0001406508,0.0003496963,0.0002483335,0.000382419],"domain_scores_gemma":[0.9991285,0.0004088045,0.0001124045,0.000228366,0.000004038073,0.0001178961],"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":[0.00006053008,0.0001202585,0.0004523724,0.0000380686,0.0001311659,0.0002745556,0.0002199679,7.742938e-7,0.00007640904,0.0004653687,0.9678318,0.03032876],"study_design_scores_gemma":[0.0003445171,0.00001038491,0.0001993714,0.0001755994,0.00004260733,0.00001072061,0.0007529528,7.908623e-7,0.0001392033,0.0008266369,0.9972262,0.0002709873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001648133,0.0003886183,0.0000131769,0.0003698849,0.00002891022,0.0001342473,0.001782943,0.0001757392,0.9954584],"genre_scores_gemma":[0.008697107,0.0003249189,0.00004941598,0.0002728036,0.0004362823,9.533223e-7,0.0005390548,0.0000947162,0.9895847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03005777,"threshold_uncertainty_score":0.9962929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285666343879825,"score_gpt":0.2173926128309562,"score_spread":0.1888259784429737,"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."}}