{"id":"W6980033106","doi":"","title":"ARCHIVEIT-1830-WEEKLY-EEMLKQ-20120522183406-00000-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":[0.001064903,0.002600055,0.001291859,0.008541661,0.001959449,0.005745293,0.002340854,0.001646923,0.6993933],"category_scores_gemma":[0.008889376,0.001909665,0.0009380699,0.01079435,0.0006175489,0.003510034,0.00350869,0.001361895,0.8283252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00280745,"about_ca_system_score_gemma":0.00262992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09899064,"about_ca_topic_score_gemma":0.1138326,"domain_scores_codex":[0.9990282,0.00007186923,0.00005934277,0.0001994339,0.0004636278,0.0001776077],"domain_scores_gemma":[0.9939346,0.0007577314,0.0002228322,0.001644285,0.002623877,0.0008166449],"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":[0.0000251841,0.0000102448,0.0001589294,0.00009988576,0.0000045394,0.000007098166,0.00003763487,0.00003391103,0.0001199568,0.0002924977,0.9892896,0.009920462],"study_design_scores_gemma":[0.00003152239,0.000006760995,0.001599987,0.00006663966,0.000005121458,0.00002627164,0.00004365695,0.0001618205,0.0007022899,0.000317036,0.9970151,0.00002383857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005417977,0.0002388102,0.002344228,0.0003667816,0.0001944957,0.0001541528,0.7158197,0.1230265,0.1573137],"genre_scores_gemma":[0.002324383,0.0003599719,0.004362151,0.0002939602,0.00008295856,0.0001991337,0.6884004,0.07997063,0.2240064],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3006067,"threshold_uncertainty_score":0.4287789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008123264107944792,"score_gpt":0.1976729341203318,"score_spread":0.189549670012387,"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."}}