{"id":"W2801569311","doi":"10.1108/jd-10-2017-0137","title":"“Natural allies”","year":2018,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowball sampling; Outreach; Originality; Library science; Sociology; Public relations; Value (mathematics); Qualitative research; Political science; Knowledge management; Social science; Computer science","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":[0.003580827,0.0005995419,0.000495878,0.001088124,0.008898779,0.006245788,0.001217892,0.001791436,0.03845907],"category_scores_gemma":[0.007016465,0.0003036507,0.0004607651,0.001200137,0.02364866,0.008846394,0.00791608,0.004017341,0.009339208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003012664,"about_ca_system_score_gemma":0.002787469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004166019,"about_ca_topic_score_gemma":0.008979244,"domain_scores_codex":[0.9946551,0.002736543,0.0001510124,0.001064852,0.0009398009,0.0004526522],"domain_scores_gemma":[0.9973742,0.0006532096,0.0002357514,0.000973908,0.0003993474,0.0003635687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006164423,0.00003286895,0.001116344,0.0002192383,0.00001802182,0.0003348441,0.04249071,0.0000977296,0.0005785364,0.7881246,0.1225952,0.04433019],"study_design_scores_gemma":[0.000003085765,0.00001054952,0.0002366557,0.0001235229,0.00000217269,0.0001739525,0.006881978,0.00002809698,0.00008212437,0.0248517,0.967599,0.000007172177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01891047,0.005806985,0.01525605,0.05583924,0.004528825,0.0001785589,0.0006443916,0.0003792719,0.8984563],"genre_scores_gemma":[0.4718797,0.004248032,0.0119797,0.03319349,0.001424483,0.0005033386,0.0007130276,0.0006479532,0.4754103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03845907,"threshold_uncertainty_score":0.1286584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249098943109329,"score_gpt":0.276497369952192,"score_spread":0.2440063805210987,"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."}}