{"id":"W7008073698","doi":"","title":"ARCHIVEIT-1830-MONTHLY-OZBJIK-20120612202853-00000-crawling200.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":"Identification (biology); Work (physics); Process (computing)","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":[0.001010458,0.002448183,0.001274164,0.008508615,0.001853327,0.005731225,0.002206148,0.001484151,0.703835],"category_scores_gemma":[0.008136392,0.0018724,0.0008691107,0.01166433,0.000557874,0.003328619,0.003260735,0.001307759,0.8365479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002469518,"about_ca_system_score_gemma":0.002447839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08070052,"about_ca_topic_score_gemma":0.09567669,"domain_scores_codex":[0.9990761,0.00006074908,0.00005713219,0.000181649,0.0004469152,0.0001774],"domain_scores_gemma":[0.994159,0.0006262357,0.0002433491,0.001601698,0.002440451,0.0009293266],"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":[0.00002719886,0.00001137505,0.0001747999,0.00008839729,0.000004308742,0.000006857957,0.00003055812,0.00003128567,0.0001104401,0.0003071289,0.9887471,0.01046066],"study_design_scores_gemma":[0.00003268737,0.000007491248,0.001891883,0.00006340595,0.000005336056,0.00002759575,0.00003885047,0.0001508361,0.0006913801,0.0003116626,0.9967551,0.0000236843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006227266,0.000252438,0.001955539,0.0003513235,0.0001989289,0.0001482329,0.6852558,0.1109979,0.200217],"genre_scores_gemma":[0.002667475,0.0004103983,0.003768493,0.0002781986,0.0001004465,0.0001871501,0.6669951,0.07344315,0.2521495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.296165,"threshold_uncertainty_score":0.4224434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007476720123310765,"score_gpt":0.1951971437447182,"score_spread":0.1877204236214075,"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."}}