{"id":"W7036043608","doi":"","title":"ARCHIVEIT-2901-NONE-EZXITY-20111024213116-00017-crawling207.us.archive.org-6683.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); 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":[0.00107722,0.002764577,0.001558252,0.007674909,0.00214297,0.006225371,0.002844193,0.001860261,0.7934501],"category_scores_gemma":[0.009247016,0.002049665,0.001016966,0.01077743,0.0006822769,0.004121589,0.004084304,0.001618204,0.9142271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586832,"about_ca_system_score_gemma":0.002577026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.060313,"about_ca_topic_score_gemma":0.06320563,"domain_scores_codex":[0.9990537,0.00008706847,0.00006001204,0.0001845088,0.0004448534,0.0001699549],"domain_scores_gemma":[0.9936,0.0009296255,0.000213335,0.001906566,0.002597273,0.0007532011],"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":[0.0000236729,0.000009957122,0.0001275864,0.00009290334,0.000003564091,0.000006790627,0.00003717883,0.00003253646,0.00008067858,0.0003776561,0.9891587,0.01004878],"study_design_scores_gemma":[0.00002598955,0.000005669971,0.0008812581,0.00007091836,0.000003972387,0.00002685703,0.0000421739,0.0001302047,0.0005542101,0.0004347647,0.9978039,0.00002002186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004399357,0.0002114062,0.002774001,0.0004164976,0.000192022,0.0001510473,0.6622462,0.1098776,0.2236913],"genre_scores_gemma":[0.002068485,0.0003912842,0.003811351,0.0003284659,0.00008373639,0.0002341754,0.6292381,0.0855376,0.2783068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2065499,"threshold_uncertainty_score":0.2946183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013466579876009,"score_gpt":0.1963354631777906,"score_spread":0.1862007973790305,"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."}}