{"id":"W6889297422","doi":"10.25549/thom-c41-2975","title":"Bing Thom Building, Vancouver, BC, Canada, 1995","year":2016,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); Relation (database); Context (archaeology); 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":[],"consensus_categories":[],"category_scores_codex":[0.0006687753,0.002275663,0.001790083,0.005926629,0.001575334,0.004477006,0.001869667,0.001159403,0.09217239],"category_scores_gemma":[0.004203631,0.0009145305,0.0007631349,0.01689275,0.0004879897,0.001469279,0.001196861,0.001624054,0.1500198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007683055,"about_ca_system_score_gemma":0.0117529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7805514,"about_ca_topic_score_gemma":0.9097498,"domain_scores_codex":[0.9989861,0.0000496379,0.00008287113,0.0002654082,0.0004233893,0.0001926724],"domain_scores_gemma":[0.9970626,0.0002117269,0.0001802997,0.000420507,0.001772129,0.0003526993],"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":[0.00001564764,0.000003706705,0.0004131325,0.00009847734,0.000004969698,0.000005217555,0.000008672021,0.00005979233,0.0000114984,0.0001192769,0.997772,0.001487523],"study_design_scores_gemma":[0.00004126224,0.000003730082,0.007541986,0.000190891,0.00001127426,0.00001738622,0.00009184843,0.0001285692,0.0001031315,0.0002502423,0.9916053,0.0000144167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008003204,0.0001130518,0.0000254202,0.00003858672,0.00002451992,0.000005159356,0.9968057,0.0001582353,0.002749392],"genre_scores_gemma":[0.0004456325,0.0001882192,0.0001107873,0.00001704229,0.000007465319,0.00001764233,0.9934908,0.00006686489,0.005655535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2194486,"threshold_uncertainty_score":0.4414818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00470247631883464,"score_gpt":0.1522298132117899,"score_spread":0.1475273368929552,"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."}}