{"id":"W6886012308","doi":"10.14288/1.0369154","title":"C.P.R. Wharf, Vancouver, B.C.","year":2018,"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":"Frame (networking); Context (archaeology); Face (sociological concept); Selection (genetic algorithm)","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":[0.0002804106,0.0006268952,0.0003654982,0.0007785533,0.005755033,0.004089885,0.000620816,0.002138243,0.6625058],"category_scores_gemma":[0.001558347,0.0004245765,0.0002493958,0.001025632,0.0006589929,0.00104272,0.001311356,0.00261896,0.3935755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003099527,"about_ca_system_score_gemma":0.005327875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3301778,"about_ca_topic_score_gemma":0.7328853,"domain_scores_codex":[0.999611,0.00001793708,0.00000713764,0.00005374608,0.0002021794,0.0001079921],"domain_scores_gemma":[0.9990149,0.00004416302,0.00001790499,0.00003886531,0.0005356726,0.0003486146],"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":[0.000009751774,0.000005602894,0.0001108512,0.00001927633,6.648245e-7,0.0000420042,0.00003531867,0.00002366184,0.00005348959,0.001178937,0.9856377,0.01288267],"study_design_scores_gemma":[0.000002256049,0.0000022062,0.0004641117,0.00003991803,7.117406e-7,0.00002498766,0.00011073,0.00002090286,0.00003959552,0.0001345873,0.999157,0.000003021344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000322035,0.0006928552,0.0001872357,0.002133943,0.0006459258,0.00002197631,0.001056803,0.0003524125,0.9945867],"genre_scores_gemma":[0.0009558534,0.0002839716,0.00006049449,0.0001442068,0.00002255557,0.000004221776,0.0001953175,0.0001043828,0.9982288],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6698222,"threshold_uncertainty_score":0.656512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007904548036060336,"score_gpt":0.1765924927789841,"score_spread":0.1686879447429238,"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."}}