{"id":"W7035868839","doi":"","title":"ARCHIVEIT-1830-NONE-EWVEGS-20120301082358-00095-crawling211.us.archive.org-6682.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Crustacean biology and ecology","field":"Environmental Science","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":[0.001010433,0.00212599,0.001274406,0.006904937,0.001313672,0.004680292,0.002257868,0.001407665,0.650624],"category_scores_gemma":[0.006829244,0.001772624,0.0008909909,0.01005583,0.0004759659,0.002816059,0.00292853,0.001269253,0.8067783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729142,"about_ca_system_score_gemma":0.002067995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06433838,"about_ca_topic_score_gemma":0.07097688,"domain_scores_codex":[0.9993342,0.00005364283,0.00004465408,0.0001466315,0.0003059514,0.000114977],"domain_scores_gemma":[0.9960679,0.0005393212,0.0001565977,0.001227189,0.001461476,0.0005475375],"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":[0.0000241066,0.000008942412,0.0001990219,0.0001118746,0.000007372992,0.000007305576,0.00003434819,0.00005364481,0.0001070363,0.0002973503,0.9888976,0.01025148],"study_design_scores_gemma":[0.00002952694,0.000004519437,0.001048468,0.00006151509,0.000005222079,0.00001864089,0.00002680203,0.0001331434,0.0004735814,0.0003593431,0.9978242,0.00001519959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004232157,0.0001854399,0.002105585,0.0002249359,0.000150294,0.00008899955,0.8032019,0.09596933,0.09765034],"genre_scores_gemma":[0.001800155,0.0002908525,0.003649059,0.0002252731,0.00005880329,0.0001480394,0.8425964,0.05746579,0.09376564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.349376,"threshold_uncertainty_score":0.4983424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005822482945723174,"score_gpt":0.1828742008164735,"score_spread":0.1770517178707504,"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."}}