{"id":"W6998617689","doi":"","title":"ARCHIVEIT-279-WEEKLY-CASDAA-20110823135526-00000-crawling205.us.archive.org-6682.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":"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":[0.001039936,0.0024617,0.001208881,0.006969525,0.002288062,0.005846481,0.002491187,0.001826396,0.8004299],"category_scores_gemma":[0.008286397,0.002041856,0.0009119228,0.009291762,0.0006473573,0.004260848,0.003859814,0.001421157,0.8931643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003053893,"about_ca_system_score_gemma":0.002290587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0730192,"about_ca_topic_score_gemma":0.0903359,"domain_scores_codex":[0.9991794,0.00007253485,0.000057024,0.0001695648,0.000361715,0.0001597028],"domain_scores_gemma":[0.9936671,0.0007254005,0.0002630118,0.002077479,0.002263322,0.001003813],"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":[0.00002032025,0.000009048387,0.0001408559,0.00007478466,0.000003018755,0.000006449666,0.00003318616,0.00002547567,0.00007979902,0.0003304185,0.991148,0.008128651],"study_design_scores_gemma":[0.00002746278,0.000006354588,0.001266124,0.00005307805,0.000003962725,0.00002530422,0.00004161521,0.0001332219,0.0005629931,0.0002445423,0.9976158,0.00001963401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005620546,0.0002057575,0.002153865,0.0004680864,0.0002236701,0.000183822,0.6306164,0.1064729,0.2591135],"genre_scores_gemma":[0.003304427,0.0004144088,0.003506016,0.0003811634,0.0001240329,0.0002724818,0.5444365,0.07980334,0.3677576],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1995701,"threshold_uncertainty_score":0.2846624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009919119686264135,"score_gpt":0.193243887621055,"score_spread":0.1833247679347909,"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."}}