{"id":"W4385598500","doi":"10.59962/9780774863940-002","title":"Acknowledgments","year":2020,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Museum of Natural History; Smithsonian Institution","keywords":"Medicine","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002987939,0.0001136716,0.0003457966,0.00001674105,0.0002188832,0.0001323202,0.0004236812,0.0002736755,0.00413056],"category_scores_gemma":[0.00000337261,0.0002831186,0.0002383002,0.000001456416,0.001063209,0.00003179893,0.0003433925,0.0003531952,0.00005049664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003786819,"about_ca_system_score_gemma":0.00004050767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03279087,"about_ca_topic_score_gemma":0.2006776,"domain_scores_codex":[0.9992112,0.000007041459,0.0001486043,0.0003099926,0.0001825203,0.0001406216],"domain_scores_gemma":[0.9992965,0.00001903998,0.0001909749,0.0002314708,0.0001918284,0.00007012845],"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":[0.00000626287,0.00002235746,0.000005053754,0.0001232966,0.0003586081,0.0001974458,0.003014276,5.825645e-8,0.000001596884,0.3086723,0.6601865,0.02741227],"study_design_scores_gemma":[0.0003555003,0.0000630826,0.000007049333,0.0002335622,0.0001595358,0.000004337701,0.0002985979,0.000004476327,9.202264e-7,0.01135083,0.987271,0.0002511307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002435924,0.0003194989,0.000002967435,0.00001703345,0.0002708193,0.00022212,0.001062532,0.0001378147,0.9977236],"genre_scores_gemma":[0.00693263,0.0002401625,0.00006845895,0.00004920947,0.0001461855,2.5328e-7,0.00003674284,0.00003243509,0.9924939],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3270845,"threshold_uncertainty_score":0.9999621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425153808226937,"score_gpt":0.1668499054624116,"score_spread":0.1425983673801422,"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."}}