{"id":"W4393460611","doi":"10.5281/zenodo.10368815","title":"Hiram Walker Whiskey Bottle","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottle; Food science; Chemistry; Geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004050895,0.001702367,0.0009966746,0.002547682,0.0008913513,0.001928517,0.001961084,0.001386779,0.1096953],"category_scores_gemma":[0.002263347,0.0005987113,0.0008974873,0.005212168,0.0003428606,0.001661617,0.002203212,0.001129965,0.1926402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326571,"about_ca_system_score_gemma":0.001683837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05813721,"about_ca_topic_score_gemma":0.1357662,"domain_scores_codex":[0.9995193,0.00004770506,0.00003338698,0.0001839237,0.0001206297,0.00009509885],"domain_scores_gemma":[0.9992096,0.0001102191,0.00008014536,0.0002156492,0.0002677871,0.0001165738],"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":[0.00002518,0.000005762299,0.0005354488,0.0002079772,0.000006019449,0.00001300538,0.00001854634,0.00008152563,0.00005407372,0.0002358181,0.9966209,0.002195748],"study_design_scores_gemma":[0.0000420918,0.000005218263,0.002341008,0.0001084648,0.000006317665,0.00002346713,0.00008073496,0.000153442,0.0002005397,0.0004291876,0.9965969,0.00001258776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001448098,0.00005198349,0.0000622222,0.0000467584,0.00001828569,0.000008579252,0.9972064,0.0006598756,0.001801151],"genre_scores_gemma":[0.000473817,0.00006920939,0.0002900143,0.00003497067,0.000004844852,0.00003758563,0.9971487,0.000157808,0.001783125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1096953,"threshold_uncertainty_score":0.3669675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792979119087201,"score_gpt":0.2100451253593192,"score_spread":0.1921153341684471,"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."}}