{"id":"W2746912875","doi":"10.18432/r2hs6t","title":"Reviews Editorial: Introduction to Snapshot Reviews","year":2017,"lang":"en","type":"article","venue":"Art/Research International A Transdisciplinary Journal","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Snapshot (computer storage); Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01026588,0.004098565,0.003960225,0.009906947,0.002796325,0.009535942,0.003547459,0.009960761,0.0434948],"category_scores_gemma":[0.07335968,0.001693428,0.003803721,0.005244655,0.002036298,0.006256924,0.003673156,0.01392172,0.03898913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004659845,"about_ca_system_score_gemma":0.008563892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058679,"about_ca_topic_score_gemma":0.008280317,"domain_scores_codex":[0.9873827,0.002481888,0.001914183,0.001027457,0.006416723,0.0007770643],"domain_scores_gemma":[0.9186611,0.01929965,0.007539106,0.002098348,0.04645168,0.005950148],"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":[0.00001627319,0.000003757541,0.000008784073,0.0004493081,0.000008642216,0.00001833632,0.000008293062,0.000009360447,0.00003120095,0.00009797318,0.9951549,0.004193209],"study_design_scores_gemma":[0.00003060905,0.00003207881,0.0001665644,0.001985561,0.00004284819,0.000136429,0.00004196604,0.00002993492,0.0000755077,0.0006707182,0.9967608,0.00002699769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003668923,0.03377894,0.0002899606,0.05819806,0.9046178,0.0001182135,0.0004328767,0.0001613161,0.002366107],"genre_scores_gemma":[0.0006282177,0.04297376,0.001004347,0.1149165,0.8168647,0.0004190069,0.0007199701,0.0002687571,0.02220479],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0434948,"threshold_uncertainty_score":0.1455046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2367374432042975,"score_gpt":0.4926773005798759,"score_spread":0.2559398573755785,"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."}}