{"id":"W6961392630","doi":"10.14288/1.0432125","title":"S.S. Charmer - Vancouver, B.C.","year":2023,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Identification (biology); Process (computing); Context (archaeology)","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":[0.0002347002,0.0009576374,0.0005431325,0.0006668084,0.00469328,0.00394673,0.0007119641,0.001841614,0.7618931],"category_scores_gemma":[0.0009161875,0.0005464382,0.0003155918,0.001428467,0.0004701978,0.000756921,0.0009527993,0.002220687,0.6309026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003412082,"about_ca_system_score_gemma":0.006323718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3904153,"about_ca_topic_score_gemma":0.7784494,"domain_scores_codex":[0.9996771,0.00001281005,0.000006207782,0.00008039381,0.0001469881,0.0000766261],"domain_scores_gemma":[0.9992932,0.00003182445,0.00001683652,0.00002997242,0.000415342,0.0002128177],"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":[0.00002233463,0.000009670161,0.0001271695,0.00002895329,0.000001397817,0.00002629876,0.0000181717,0.00003176111,0.0001809691,0.0009203994,0.9831749,0.01545795],"study_design_scores_gemma":[0.000003741949,0.000005258226,0.000777065,0.00003082795,0.000001334655,0.00001686177,0.00007507624,0.00002379931,0.00008055841,0.00009191992,0.9988896,0.00000402051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004793467,0.0007975151,0.000141202,0.00108473,0.0006679585,0.00003451922,0.0026,0.0003667457,0.993828],"genre_scores_gemma":[0.0004358268,0.0001676557,0.00004855706,0.0001047418,0.000008330666,0.000004375399,0.0003181714,0.00006839076,0.9988439],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6095847,"threshold_uncertainty_score":0.7762856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983253181436778,"score_gpt":0.1819367842633931,"score_spread":0.1721042524490253,"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."}}