{"id":"W6989537469","doi":"","title":"ARCHIVEIT-279-WEEKLY-ETFPEP-20120605140122-00000-crawling200.us.archive.org-6682.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":[0.001093501,0.00246368,0.001201439,0.006750384,0.001949003,0.005338195,0.002425194,0.001746543,0.7490523],"category_scores_gemma":[0.008976364,0.002166805,0.0008978234,0.008870772,0.0005850928,0.004090965,0.003753156,0.001387131,0.8577421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002605801,"about_ca_system_score_gemma":0.002100418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06491305,"about_ca_topic_score_gemma":0.07619708,"domain_scores_codex":[0.9991484,0.00007341292,0.00006077509,0.0001791997,0.0003848162,0.0001534402],"domain_scores_gemma":[0.9937667,0.0007707748,0.0002647735,0.002055186,0.002216818,0.0009257981],"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":[0.00002329312,0.00000981439,0.0001656675,0.00008430254,0.0000036395,0.000007362735,0.00003882337,0.00003024522,0.00009011858,0.0003302351,0.9903738,0.008842763],"study_design_scores_gemma":[0.0000352167,0.000007406114,0.001697366,0.00006145834,0.000004912357,0.00003053157,0.00004143792,0.0001576764,0.0007565062,0.0002713439,0.9969132,0.00002285636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005904891,0.0001958773,0.002628772,0.0004225889,0.0001988428,0.0001710156,0.6825048,0.1244678,0.1888198],"genre_scores_gemma":[0.003156434,0.0003953135,0.003990928,0.000331342,0.0001162498,0.0002692895,0.6092109,0.0946205,0.2879091],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2509477,"threshold_uncertainty_score":0.3579463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007907700217737314,"score_gpt":0.196755003797012,"score_spread":0.1888473035792747,"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."}}