{"id":"W6998625857","doi":"","title":"ARCHIVEIT-279-WEEKLY-QJDLEQ-20120522140117-00000-crawling212.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":[0.001080408,0.002345636,0.001224437,0.006832511,0.002197612,0.005874518,0.002429276,0.001728437,0.8260319],"category_scores_gemma":[0.008877059,0.002046962,0.0008975723,0.009222214,0.0006662596,0.004259992,0.004240419,0.001365334,0.9028825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722774,"about_ca_system_score_gemma":0.001973393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06069622,"about_ca_topic_score_gemma":0.07419006,"domain_scores_codex":[0.9991502,0.00007483972,0.00005837658,0.000178404,0.0003818361,0.0001564252],"domain_scores_gemma":[0.9938493,0.0007719052,0.0002475924,0.001966884,0.002164052,0.001000197],"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":[0.00002344654,0.00001071184,0.0001787708,0.00008748596,0.000003403255,0.000008214686,0.00004777136,0.00002875458,0.00009835073,0.0003850368,0.9878579,0.01127014],"study_design_scores_gemma":[0.00003071445,0.000006914809,0.001401744,0.00005976196,0.000004081999,0.00002957692,0.00004713123,0.0001347958,0.0005859949,0.000263266,0.9974154,0.00002065036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006643504,0.0002385863,0.002873339,0.0004990736,0.0002251277,0.0001961506,0.5548779,0.1317903,0.3086352],"genre_scores_gemma":[0.003619615,0.0004539195,0.003955643,0.0004094272,0.0001244049,0.0002695642,0.4537411,0.09941005,0.4380162],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1739681,"threshold_uncertainty_score":0.2481443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008575671037408234,"score_gpt":0.1973893104709942,"score_spread":0.188813639433586,"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."}}