{"id":"W2898410487","doi":"10.1177/1749975518808476","title":"Book Review: Machine Learners: Archeology of a Data Practice","year":2018,"lang":"en","type":"article","venue":"Cultural Sociology","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Archaeology; History; Psychology; Art; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003520302,0.0006958565,0.001661716,0.006076321,0.001205949,0.005500372,0.001699115,0.005260046,0.02179403],"category_scores_gemma":[0.03350842,0.0005621827,0.0006925426,0.008867885,0.00339677,0.006478941,0.001969395,0.005763571,0.01033886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003667148,"about_ca_system_score_gemma":0.006846086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859383,"about_ca_topic_score_gemma":0.01700026,"domain_scores_codex":[0.9965233,0.001230553,0.0002493781,0.0003680494,0.001485955,0.0001428062],"domain_scores_gemma":[0.9519006,0.03564504,0.001838432,0.00118155,0.008212948,0.001221531],"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":[0.000007906715,0.000006573038,0.00004853415,0.001006754,0.00001236641,0.00002365715,0.0000685982,0.00004944177,0.00003977554,0.004652649,0.9594416,0.03464218],"study_design_scores_gemma":[0.000009873401,0.00001144096,0.0001765163,0.002267117,0.00001699537,0.0001821593,0.00008471792,0.00006327144,0.00004108412,0.004982485,0.9921528,0.00001163986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002818655,0.6997129,0.002646329,0.2047625,0.07523068,0.00006657484,0.0003914894,0.0001086963,0.016799],"genre_scores_gemma":[0.008703525,0.6367666,0.003764522,0.1337459,0.1413587,0.0003035393,0.000695281,0.0005180152,0.07414393],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9987941,"threshold_uncertainty_score":0.07290828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715766211606929,"score_gpt":0.3639186350177557,"score_spread":0.1923420138570628,"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."}}