{"id":"W6980020151","doi":"","title":"ARCHIVEIT-1830-WEEKLY-GTHMHP-20121016182307-00000-crawling113.us.archive.org-6680.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":[0.001020537,0.002548104,0.00125759,0.007288163,0.001819629,0.005369453,0.002462004,0.001582953,0.6674946],"category_scores_gemma":[0.00843313,0.001805598,0.0009138328,0.009579574,0.0005898482,0.003330956,0.003455546,0.001370541,0.8210898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227953,"about_ca_system_score_gemma":0.002444223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06740127,"about_ca_topic_score_gemma":0.08099343,"domain_scores_codex":[0.9990403,0.00007154049,0.00005554072,0.0002068334,0.0004490562,0.0001767388],"domain_scores_gemma":[0.9943022,0.0006321024,0.0002013,0.001851274,0.002249953,0.0007632333],"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":[0.0000241049,0.00001083434,0.0001575273,0.00008386655,0.000004446219,0.00000705878,0.00003242929,0.00004547638,0.0001174337,0.0003322568,0.9882217,0.01096295],"study_design_scores_gemma":[0.00003318976,0.000008406182,0.001503458,0.00006308511,0.000005559174,0.00003084519,0.00004365754,0.0002471154,0.0008472946,0.0004479479,0.9967461,0.00002343416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006566204,0.0002248017,0.003249898,0.0004033252,0.00021118,0.0001627695,0.6662011,0.1581063,0.1707839],"genre_scores_gemma":[0.002621604,0.0003407307,0.005349754,0.0002858577,0.00009104639,0.0002055648,0.6719106,0.09058258,0.2286123],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3325054,"threshold_uncertainty_score":0.4742786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00798859335290952,"score_gpt":0.196916848270044,"score_spread":0.1889282549171345,"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."}}