{"id":"W6980008773","doi":"","title":"ARCHIVEIT-1830-NONE-MFKVIC-20110729185745-00000-crawling203.us.archive.org-6684.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":[0.001003758,0.00261957,0.001370192,0.007552468,0.002166219,0.00592766,0.002549223,0.001928352,0.7542392],"category_scores_gemma":[0.008330033,0.001942271,0.0008545765,0.009295032,0.0006483324,0.003784974,0.003814322,0.001301883,0.8805482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826646,"about_ca_system_score_gemma":0.002643529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08062625,"about_ca_topic_score_gemma":0.09678469,"domain_scores_codex":[0.9990429,0.00006821897,0.0000546948,0.0001918578,0.0004551544,0.0001870693],"domain_scores_gemma":[0.994077,0.0007074547,0.000204039,0.001723735,0.002418986,0.0008687314],"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":[0.00002489718,0.00001086415,0.0001443978,0.00009367324,0.000003899845,0.000007900375,0.00003491115,0.00003381115,0.0001208745,0.0003571498,0.9883004,0.01086722],"study_design_scores_gemma":[0.00002757881,0.000007493827,0.001141653,0.00006505533,0.000004207839,0.00003285319,0.00004272275,0.0001473597,0.0006522067,0.0003513036,0.9975052,0.00002234425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006142076,0.0002685666,0.002711775,0.0004403028,0.0002507091,0.0001864567,0.5833902,0.1399416,0.2721962],"genre_scores_gemma":[0.002586963,0.0003874905,0.004103193,0.0003556694,0.00009372182,0.0001912246,0.5892727,0.08335324,0.3196557],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2457608,"threshold_uncertainty_score":0.3505479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009503039860788135,"score_gpt":0.1938715703486946,"score_spread":0.1843685304879065,"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."}}