{"id":"W4399814531","doi":"10.3724/2096-1715.2017.001.005.018","title":"Museums: How to Deal with Sensitive Topics?","year":2017,"lang":"en","type":"article","venue":"博物院.","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003267877,0.0000909707,0.0001030407,0.000013121,0.0006277169,0.0005961094,0.0001335482,0.00001949313,0.0005276649],"category_scores_gemma":[0.000005645908,0.00005806833,0.00003070449,0.000004464349,0.00009199434,0.0002271874,0.00004449961,0.0000607325,0.0001627565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001139684,"about_ca_system_score_gemma":0.000008955063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127423,"about_ca_topic_score_gemma":0.007460944,"domain_scores_codex":[0.9995451,0.000007782985,0.00004801405,0.0001400012,0.00009730468,0.0001618028],"domain_scores_gemma":[0.9995724,0.000006142678,0.00004164162,0.0002339572,0.00007420887,0.00007164329],"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":[0.00009982256,0.00007050727,0.0007513526,0.00004597981,0.0001055919,0.0002022322,0.1110015,0.000001514003,0.0004422432,0.737068,0.07806529,0.07214598],"study_design_scores_gemma":[0.0001585592,0.0001085511,0.004284613,0.0000285229,0.000008301282,0.000003308216,0.004574782,0.000003784623,0.0002133182,0.0001152879,0.990363,0.0001379698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.540197,0.00001043993,0.00001693628,0.01246224,0.0002316472,0.0001640169,0.00002603828,0.00006240713,0.4468293],"genre_scores_gemma":[0.9173678,0.000001984399,0.0002789407,0.0007288016,0.0009898085,0.000007928864,0.000003395143,0.000009270584,0.08061208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9122977,"threshold_uncertainty_score":0.5777561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180173832604325,"score_gpt":0.2303040090351798,"score_spread":0.1885022707091365,"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."}}