{"id":"W6989308142","doi":"","title":"ARCHIVEIT-1830-NONE-ZWOWXS-20111120204000-00001-crawling206.us.archive.org-6681.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":[0.001070658,0.002588693,0.001305069,0.00738684,0.002044467,0.005645602,0.002512634,0.001731157,0.7272251],"category_scores_gemma":[0.00837608,0.00193534,0.0008765086,0.009162883,0.0006177762,0.003575123,0.003825052,0.001329306,0.8586611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538619,"about_ca_system_score_gemma":0.002579968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07021693,"about_ca_topic_score_gemma":0.08476156,"domain_scores_codex":[0.9990299,0.00007301776,0.00006069601,0.000188597,0.0004682968,0.0001794705],"domain_scores_gemma":[0.9940801,0.0007216057,0.0002163177,0.001833895,0.002314902,0.0008332573],"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":[0.00002758095,0.00001240479,0.0001734687,0.0000976808,0.000004361061,0.000008496928,0.00003780807,0.00003889593,0.0001371446,0.000453112,0.9867291,0.01228005],"study_design_scores_gemma":[0.00002916479,0.000007362083,0.001176881,0.00006144792,0.000004323746,0.00003073491,0.00004100871,0.0001590012,0.0007452464,0.0003915623,0.9973319,0.00002140441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006654218,0.0002540454,0.003328314,0.0004613495,0.0002461561,0.0002088312,0.6026022,0.1406721,0.2515616],"genre_scores_gemma":[0.002572796,0.0003882875,0.004862919,0.0003295253,0.00008950624,0.0002268136,0.6007424,0.08491776,0.3058699],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2727749,"threshold_uncertainty_score":0.3890803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009451044207712794,"score_gpt":0.1928482373030549,"score_spread":0.1833971930953421,"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."}}