{"id":"W3004383240","doi":"10.22148/001c.11822","title":"Other people's data: humanities edition","year":2016,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital humanities; Process (computing); Raw data; Resource (disambiguation); Computer science; Digital curation; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002716966,0.000138261,0.0002470786,0.00009315596,0.0002137908,0.0007103415,0.0004990957,0.00003168016,0.003462616],"category_scores_gemma":[0.0001009562,0.0000672535,0.0001421049,0.00002523738,0.0002143055,0.003417593,0.00007699413,0.000136254,0.00009014018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005043137,"about_ca_system_score_gemma":0.0000313142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002497518,"about_ca_topic_score_gemma":0.001111354,"domain_scores_codex":[0.9988316,0.00002825202,0.0004620798,0.0001053452,0.0003831205,0.0001896483],"domain_scores_gemma":[0.9986814,0.00008496119,0.0003678891,0.0002157813,0.0005844868,0.00006551111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007622749,0.0001451794,0.0004229634,0.00003684327,0.0003010053,0.00003487358,0.01559123,0.000003870367,0.0001265772,0.6835923,0.2924218,0.007247171],"study_design_scores_gemma":[0.0003846739,0.0001898966,0.0002451837,0.0001332503,0.00009814078,0.00004654371,0.01110351,0.000009604294,0.00003666776,0.01121346,0.9763655,0.0001735386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4402121,0.001011436,0.0003223874,0.0060961,0.00541975,0.0001741507,0.000835366,0.0000991924,0.5458295],"genre_scores_gemma":[0.9284757,0.00007989542,0.00003280375,0.000494661,0.00645084,4.385649e-7,0.00001307892,0.00001536027,0.06443717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6839437,"threshold_uncertainty_score":0.9974483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393494022932569,"score_gpt":0.2780875505455687,"score_spread":0.1387381482523118,"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."}}