{"id":"W7008083442","doi":"","title":"ARCHIVEIT-279-WEEKLY-JBGZGA-20120110135514-00000-crawling207.us.archive.org-6680.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":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":[0.001052202,0.002506374,0.001235684,0.007283173,0.002106081,0.006057522,0.002466178,0.001803107,0.7821361],"category_scores_gemma":[0.008527568,0.002037084,0.0009591477,0.009047809,0.000674833,0.004086059,0.004164741,0.001438674,0.8854254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00265543,"about_ca_system_score_gemma":0.002013675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0572249,"about_ca_topic_score_gemma":0.06944858,"domain_scores_codex":[0.9991436,0.00007631502,0.00005799537,0.000179178,0.0003782134,0.0001647648],"domain_scores_gemma":[0.9939582,0.0007190166,0.0002422498,0.002033663,0.002087578,0.0009593125],"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":[0.00002549482,0.00001085742,0.0001700426,0.0000921813,0.00000384548,0.000008196707,0.00004432835,0.00003009294,0.0001010516,0.0003640744,0.9892707,0.009879016],"study_design_scores_gemma":[0.00003410555,0.000007745171,0.001533583,0.00006749196,0.000004844249,0.00003046491,0.00004678136,0.0001538033,0.0006897622,0.0002925567,0.9971168,0.0000219177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006851613,0.0002401571,0.002536415,0.0004993035,0.0002298422,0.0001931502,0.5981386,0.1331144,0.2643629],"genre_scores_gemma":[0.003678837,0.0004473704,0.003799067,0.0003639746,0.0001275864,0.0002641119,0.5304249,0.1001554,0.3607387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2178639,"threshold_uncertainty_score":0.3107564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008109791277375588,"score_gpt":0.1956563999044239,"score_spread":0.1875466086270483,"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."}}