{"id":"W6998644365","doi":"","title":"ARCHIVEIT-1830-NONE-OUWWLJ-20111024184032-00017-crawling202.us.archive.org-6683.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":"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":[0.0009657843,0.002737623,0.001403046,0.007677833,0.002106265,0.005755641,0.002402847,0.001896935,0.7455912],"category_scores_gemma":[0.007677411,0.001965333,0.0009140513,0.009802011,0.0006491542,0.003540472,0.003804039,0.001304262,0.8723499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002729364,"about_ca_system_score_gemma":0.002564808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08088344,"about_ca_topic_score_gemma":0.0993644,"domain_scores_codex":[0.9990653,0.0000700153,0.00005264427,0.0001812496,0.0004477217,0.0001830835],"domain_scores_gemma":[0.9946771,0.00066347,0.0001864404,0.001522898,0.002137443,0.0008127287],"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":[0.00002599304,0.00001134074,0.0001435598,0.0001011848,0.000004388879,0.000008469658,0.00003846909,0.00003549621,0.0001408013,0.0003607939,0.9884689,0.01066058],"study_design_scores_gemma":[0.00002775383,0.000007659947,0.001158722,0.00006410501,0.000004444557,0.00003193197,0.00004364887,0.0001523352,0.0007234332,0.0003351962,0.9974287,0.00002211131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006186192,0.0002564701,0.00263742,0.0004329813,0.0002339746,0.0001875386,0.6075287,0.1327976,0.2553066],"genre_scores_gemma":[0.002493029,0.0003839657,0.003829684,0.0003351134,0.00008656519,0.0001931771,0.6055606,0.0798663,0.3072516],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2544088,"threshold_uncertainty_score":0.3628832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009931295921840116,"score_gpt":0.195249749746425,"score_spread":0.1853184538245849,"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."}}