{"id":"W7026701146","doi":"","title":"ARCHIVEIT-3196-NONE-RLBBUZ-20120529105835-00013-crawling109.us.archive.org-6682.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); Process (computing); Product (mathematics); Work (physics)","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":[0.001119693,0.002588744,0.001486807,0.006594771,0.002240469,0.006260747,0.002954745,0.002088463,0.827954],"category_scores_gemma":[0.00882613,0.002006301,0.0009477771,0.008224444,0.0006977019,0.004030226,0.004324053,0.001421327,0.9217404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002614583,"about_ca_system_score_gemma":0.002229562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05851099,"about_ca_topic_score_gemma":0.06561628,"domain_scores_codex":[0.9990376,0.00008416318,0.00005688686,0.0002040565,0.0004469772,0.0001703197],"domain_scores_gemma":[0.9937159,0.0007946167,0.0001910726,0.001939045,0.002430486,0.0009288806],"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":[0.00002894424,0.00001385071,0.0001501488,0.0001043707,0.000003872578,0.000008832639,0.00004432975,0.0000338245,0.0001385389,0.0004180859,0.9856949,0.01336031],"study_design_scores_gemma":[0.0000336994,0.000007960119,0.0009903808,0.0000689853,0.000004403661,0.00003594758,0.00004552481,0.000152024,0.0006745443,0.0003824169,0.997581,0.00002300121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006166796,0.0002837976,0.003933823,0.000528407,0.0002667928,0.0002370617,0.458879,0.1927567,0.3424979],"genre_scores_gemma":[0.003100935,0.0004114351,0.004704797,0.0004978725,0.0001071132,0.0002571619,0.4481662,0.1250792,0.4176753],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.172046,"threshold_uncertainty_score":0.2454028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007825907990454822,"score_gpt":0.197646927182216,"score_spread":0.1898210191917611,"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."}}