{"id":"W6923755770","doi":"10.14288/1.0361746","title":"Granville Street, Vancouver, Canada","year":2017,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Context (archaeology); Identification (biology); 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":[],"category_scores_codex":[0.0004633348,0.001255543,0.0007435813,0.002096981,0.007337438,0.006677194,0.001446512,0.002479672,0.7508857],"category_scores_gemma":[0.002533248,0.0007119845,0.000640609,0.00319175,0.0009709802,0.001320475,0.001540794,0.002581997,0.5004192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009882113,"about_ca_system_score_gemma":0.02303362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7766896,"about_ca_topic_score_gemma":0.9541567,"domain_scores_codex":[0.9992778,0.00003441233,0.00002514709,0.00008748982,0.0003242634,0.0002509229],"domain_scores_gemma":[0.9974516,0.0001981037,0.00005678734,0.0001628022,0.001398987,0.0007315582],"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":[0.00006014917,0.00004822909,0.0006776078,0.00008718124,0.000006889408,0.00008866906,0.00006261191,0.000122363,0.00009332866,0.003305661,0.9606469,0.03480041],"study_design_scores_gemma":[0.00002780864,0.00001157696,0.003275715,0.0001810009,0.000007807411,0.00005054262,0.0002478883,0.0001551306,0.0001545432,0.000838056,0.9950361,0.00001383767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001139245,0.0006975257,0.0001785209,0.0006937833,0.000323542,0.00005879351,0.01086147,0.000511821,0.9855354],"genre_scores_gemma":[0.001509725,0.0003326615,0.0001061254,0.0001079927,0.00001393636,0.00001168157,0.001576311,0.0002024981,0.9961391],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7508857,"threshold_uncertainty_score":0.4492511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006275651992777073,"score_gpt":0.1627380410098403,"score_spread":0.1564623890170632,"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."}}