{"id":"W7017388574","doi":"","title":"ARCHIVEIT-1830-WEEKLY-DMAUOK-20120529182918-00000-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":[0.0009531825,0.002538218,0.001248399,0.008155512,0.001892605,0.005495703,0.002300645,0.001527096,0.7007456],"category_scores_gemma":[0.007886658,0.001884121,0.0009028501,0.0103884,0.000575334,0.003478956,0.003465068,0.001284273,0.8339119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002444975,"about_ca_system_score_gemma":0.002334706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08121685,"about_ca_topic_score_gemma":0.09630767,"domain_scores_codex":[0.9991751,0.00005914803,0.00004976371,0.0001735138,0.0003828114,0.0001596198],"domain_scores_gemma":[0.994816,0.0005830957,0.0002020618,0.001445002,0.002138584,0.000815257],"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":[0.0000263031,0.0000111792,0.0001668331,0.00009529193,0.00000439429,0.000007469202,0.00003608398,0.00003422918,0.0001128594,0.0003249364,0.9883502,0.01083033],"study_design_scores_gemma":[0.00003036311,0.000007319637,0.001509166,0.00006797554,0.000005013246,0.00002785704,0.0000418348,0.0001619405,0.0006702789,0.0003433939,0.9971122,0.00002266153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006273806,0.0002686233,0.0023794,0.0003647365,0.0002133331,0.00016904,0.649716,0.1312205,0.2150409],"genre_scores_gemma":[0.002796374,0.0004453676,0.004238105,0.0002920073,0.00009756482,0.000208,0.625576,0.08638379,0.2799627],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2992544,"threshold_uncertainty_score":0.4268501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008213227009121318,"score_gpt":0.1979030746857164,"score_spread":0.1896898476765951,"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."}}