{"id":"W7008038528","doi":"","title":"ARCHIVEIT-279-WEEKLY-XVVIVV-20111220135604-00000-crawling211.us.archive.org-6680.warc.gz","year":2011,"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":[0.00100876,0.002365967,0.001172058,0.006754603,0.00217556,0.005809766,0.002343536,0.001703943,0.8183091],"category_scores_gemma":[0.007445659,0.002026573,0.0008706669,0.009303093,0.0006124618,0.00407991,0.004000039,0.001391429,0.9042468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723853,"about_ca_system_score_gemma":0.001990398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05955862,"about_ca_topic_score_gemma":0.07490509,"domain_scores_codex":[0.9992342,0.00006926999,0.00005168004,0.0001538614,0.0003421177,0.0001488505],"domain_scores_gemma":[0.9945645,0.0006534357,0.0002283778,0.001813248,0.00186856,0.0008719013],"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":[0.00002049224,0.00001004565,0.0001575288,0.00008296295,0.00000329301,0.000007309486,0.00004093676,0.00002776481,0.00009201203,0.0003688426,0.9887327,0.01045613],"study_design_scores_gemma":[0.00002402828,0.000005961033,0.001300404,0.00005639911,0.00000371979,0.00002474019,0.00004135032,0.0001145702,0.0005611286,0.0002280105,0.9976216,0.00001794466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006061478,0.0002188808,0.002299201,0.0004408953,0.0002077485,0.0001835128,0.5979836,0.1004556,0.2976044],"genre_scores_gemma":[0.003115746,0.0004281145,0.003217719,0.0003226995,0.0001115377,0.0002419374,0.4906296,0.07435752,0.4275752],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1816909,"threshold_uncertainty_score":0.25916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00935468781230821,"score_gpt":0.1912120287049033,"score_spread":0.1818573408925951,"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."}}