{"id":"W7068606104","doi":"","title":"BTS 037","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Series (stratigraphy); Process (computing); Pipeline (software)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009080557,0.0006267626,0.0005488548,0.001303737,0.002163042,0.004569131,0.00119304,0.001570056,0.8355641],"category_scores_gemma":[0.002055298,0.0004067475,0.0004254303,0.001808935,0.0004398042,0.001454435,0.001717585,0.001245123,0.784754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179912,"about_ca_system_score_gemma":0.002820384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345561,"about_ca_topic_score_gemma":0.04589893,"domain_scores_codex":[0.9993622,0.0000568652,0.00002532288,0.0001054231,0.0003415232,0.0001086434],"domain_scores_gemma":[0.9980707,0.0001037685,0.00004486305,0.0002592855,0.0009257076,0.0005957486],"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":[0.00007541934,0.00003405847,0.0001366181,0.00005694688,0.00000229207,0.00004503108,0.00004140912,0.00005559011,0.001001245,0.003027625,0.9455233,0.05000058],"study_design_scores_gemma":[0.00001204771,0.00002200308,0.0004898701,0.00002482956,0.000001764292,0.00003466023,0.00003564429,0.0001038682,0.000364811,0.0005157944,0.9983886,0.000006144698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007612003,0.0001821012,0.002262423,0.0009043638,0.00114619,0.0001008718,0.008302503,0.005761076,0.9805793],"genre_scores_gemma":[0.001625853,0.00008953329,0.0004898038,0.0001692247,0.00008500262,0.00002298949,0.004364029,0.0009260601,0.9922275],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1644359,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223108907863453,"score_gpt":0.2501165915957082,"score_spread":0.2278057008093629,"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."}}