{"id":"W6989342922","doi":"","title":"ARCHIVEIT-1830-NONE-TNQHPL-20110720165652-00000-crawling206.us.archive.org-6680.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":[0.001137128,0.002740077,0.001396344,0.007968197,0.002172674,0.005913532,0.002637478,0.001881024,0.6951339],"category_scores_gemma":[0.009350279,0.002008021,0.0009477617,0.01026275,0.0006986853,0.003744591,0.003900795,0.00144379,0.8444281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009838,"about_ca_system_score_gemma":0.00312419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.103599,"about_ca_topic_score_gemma":0.1170017,"domain_scores_codex":[0.9988754,0.00008415128,0.00006706706,0.0002100527,0.0005531434,0.0002101517],"domain_scores_gemma":[0.9927523,0.0008921665,0.0002362667,0.002154722,0.003071153,0.0008934326],"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":[0.00002565333,0.00001072496,0.0001523671,0.0001033419,0.000004317741,0.000007817538,0.0000379437,0.00003524425,0.0001293809,0.0003200775,0.9894485,0.00972454],"study_design_scores_gemma":[0.00003119823,0.000007731367,0.001310485,0.00006793227,0.000004992869,0.0000302928,0.00004895283,0.0001792218,0.0008313747,0.0003627232,0.9971001,0.00002494069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005448939,0.0002269743,0.00264875,0.0004258389,0.0002256594,0.0001760663,0.6755783,0.141061,0.1791125],"genre_scores_gemma":[0.002236519,0.0003325953,0.004334183,0.0003216945,0.0000832242,0.0001938608,0.6894386,0.0824648,0.2205945],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3048661,"threshold_uncertainty_score":0.4348545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009348782374063603,"score_gpt":0.1926100124167278,"score_spread":0.1832612300426642,"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."}}