{"id":"W6923289492","doi":"10.14288/1.0361351","title":"British Columbia","year":2017,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Government (linguistics); Natural (archaeology); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000137802,0.0001582337,0.0004167491,0.00006833112,0.004019006,0.02016653,0.001451887,0.0003299532,0.4192624],"category_scores_gemma":[0.0001430029,0.0003277922,0.0001040343,0.0005267216,0.0001495907,0.0001334859,0.0005023556,0.000275604,0.003908359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966471,"about_ca_system_score_gemma":0.0004908614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770049,"about_ca_topic_score_gemma":0.9974186,"domain_scores_codex":[0.9987662,0.00007124287,0.0001317075,0.0005236643,0.0002024834,0.0003046406],"domain_scores_gemma":[0.9983515,0.00001713694,0.0003357992,0.001097098,0.00006690084,0.0001316206],"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":[0.000001798162,0.00008914955,0.00001624278,0.000007478206,0.0001503053,0.00003626896,0.000002217436,1.225589e-7,0.000001066505,6.108758e-7,0.9990537,0.0006410239],"study_design_scores_gemma":[0.0005920937,0.00002526341,0.00007040978,0.0004341933,0.00008613026,0.000122559,0.000006094457,0.000002585634,3.186859e-7,0.0002660963,0.9980111,0.0003831658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[9.256063e-8,0.0001677064,0.000008020124,0.000006910887,0.001106115,0.001724913,0.006014803,0.0004583584,0.9905131],"genre_scores_gemma":[6.727134e-7,0.0001000171,0.0007032339,0.00003010708,0.0004563695,0.0006985635,0.0001497997,0.001746501,0.9961147],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.415354,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221937799630225,"score_gpt":0.2816613073920557,"score_spread":0.2594419293957535,"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."}}