{"id":"W6998663066","doi":"","title":"ARCHIVEIT-3490-DAILY-WAQWZO-20130121054716-00000-crawling113.us.archive.org-6680.warc.gz","year":2013,"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); 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":[0.001237799,0.00248478,0.001403088,0.007991464,0.002186082,0.006430971,0.002763742,0.001664219,0.8022051],"category_scores_gemma":[0.01012975,0.002030971,0.001043928,0.01111672,0.0007028747,0.004264554,0.004253894,0.001510957,0.9059176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435499,"about_ca_system_score_gemma":0.002568138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06697907,"about_ca_topic_score_gemma":0.07358075,"domain_scores_codex":[0.9989912,0.00008910157,0.00006864347,0.0002050944,0.0004727318,0.0001731784],"domain_scores_gemma":[0.9932735,0.0007879346,0.000232832,0.002030308,0.002832765,0.000842692],"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":[0.00002366477,0.00001061645,0.0001372665,0.00008656758,0.000004010498,0.000006567986,0.00003957616,0.00003081997,0.00008667646,0.0003346221,0.9873667,0.0118729],"study_design_scores_gemma":[0.0000291587,0.000006296666,0.0009729884,0.00006469239,0.00000399655,0.00002033998,0.00004522868,0.0001282882,0.000486317,0.0004195877,0.9978027,0.00002051013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005276,0.0002229746,0.003157791,0.0004678866,0.0002308859,0.000202203,0.6105184,0.1326848,0.2519875],"genre_scores_gemma":[0.002648719,0.0004522875,0.004886182,0.0003727117,0.0001087767,0.0002825322,0.5271346,0.1087852,0.355329],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1977949,"threshold_uncertainty_score":0.2821304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006604911061061241,"score_gpt":0.1893632062932542,"score_spread":0.182758295232193,"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."}}