{"id":"W7026868446","doi":"","title":"ARCHIVEIT-279-WEEKLY-JCEFHT-20120710135657-00000-crawling208.us.archive.org-6681.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.001004674,0.002417031,0.001215586,0.007035111,0.002162738,0.005901211,0.002444732,0.001789834,0.7969519],"category_scores_gemma":[0.008245666,0.002059144,0.0009208175,0.008775624,0.000651038,0.004182284,0.003975665,0.001399988,0.8890253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649141,"about_ca_system_score_gemma":0.001983423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05615409,"about_ca_topic_score_gemma":0.07164216,"domain_scores_codex":[0.9991701,0.0000692629,0.00005670287,0.0001723831,0.0003788763,0.000152716],"domain_scores_gemma":[0.99411,0.0006797607,0.0002360219,0.001953807,0.002063348,0.0009569232],"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":[0.00002171353,0.00001063691,0.0001581118,0.00008126962,0.0000034059,0.000007747848,0.00003977192,0.00002782699,0.00009698791,0.0003667323,0.9890208,0.01016509],"study_design_scores_gemma":[0.00002954824,0.000006696852,0.001368531,0.0000593527,0.000004310432,0.0000309758,0.00003944726,0.0001491094,0.0006531529,0.0002768602,0.9973608,0.0000213018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006492865,0.0002351562,0.002880018,0.0004960629,0.0002351082,0.0001997257,0.5487719,0.1365952,0.3099377],"genre_scores_gemma":[0.003460613,0.0004268504,0.004004041,0.0003797649,0.0001303581,0.0002566348,0.4646545,0.1021368,0.4245504],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2030481,"threshold_uncertainty_score":0.2896234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007916954491928446,"score_gpt":0.196354796122831,"score_spread":0.1884378416309025,"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."}}