{"id":"W6926034936","doi":"10.21949/1520468","title":"Commodity Flow Survey 2002 [supporting datasets]","year":2021,"lang":"en","type":"dataset","venue":"ROSA P","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Commodity; Remainder; Investment (military); Census; General partnership; Truck; Service (business)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004372811,0.0002366456,0.0002657629,0.00002585821,0.0001512354,0.00009399368,0.0002803893,0.0003886942,0.0007710728],"category_scores_gemma":[0.0004893999,0.0002391553,0.0001048715,0.00009401652,0.00004866358,0.000002709823,0.0003084531,0.0002240582,0.0001214055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002026443,"about_ca_system_score_gemma":0.0001907026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307641,"about_ca_topic_score_gemma":0.004339908,"domain_scores_codex":[0.9986259,0.0001885432,0.0002847083,0.0004678662,0.0001312302,0.0003017756],"domain_scores_gemma":[0.9986371,0.00002270613,0.0001880262,0.0009687781,0.0001019156,0.00008147066],"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":[0.00002642942,0.00006703629,0.00003792196,0.00004940059,0.00004889508,0.0000201501,3.315081e-7,0.00000280095,0.002310628,3.05619e-7,0.9970919,0.0003441587],"study_design_scores_gemma":[0.0001482771,0.00004487547,0.0006317021,0.00002731967,0.00002810527,0.00001524941,0.000001617154,0.000003839235,0.003253051,9.421561e-7,0.9955662,0.0002788497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001194196,0.0003893286,0.00009592653,0.00001161686,0.0008943796,0.0000931774,0.9972667,0.000006632705,0.00004800712],"genre_scores_gemma":[0.0001764115,0.0006753269,0.0001143253,0.0001715474,0.0007138521,0.00001440774,0.9977609,0.00001770447,0.0003555072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004109144,"threshold_uncertainty_score":0.9752469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671796895966254,"score_gpt":0.2864422727176773,"score_spread":0.2697243037580148,"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."}}