{"id":"W7070183956","doi":"","title":"Unseen Labor","year":2022,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Cataloging; Variety (cybernetics); National library; Public access","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":[0.00499772,0.0009912155,0.0006052055,0.00157153,0.04054108,0.01874214,0.001610835,0.004456581,0.04440887],"category_scores_gemma":[0.01015409,0.000659394,0.0007588085,0.001406879,0.02119233,0.01688084,0.02497116,0.0101395,0.01212551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005188423,"about_ca_system_score_gemma":0.006342431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005827055,"about_ca_topic_score_gemma":0.01721656,"domain_scores_codex":[0.9929695,0.002780668,0.0001394973,0.0007011425,0.001612818,0.001796536],"domain_scores_gemma":[0.9919546,0.001317267,0.0006228504,0.0008217025,0.0009036143,0.004379909],"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":[0.00006828969,0.0001127858,0.003087763,0.0001566751,0.00001237287,0.0009895905,0.3096003,0.00007218801,0.001067084,0.09782732,0.532272,0.0547337],"study_design_scores_gemma":[0.00000227005,0.00002206332,0.0006448149,0.0001109901,0.000002001731,0.0003406717,0.115511,0.00002212932,0.0001861849,0.005665092,0.8774716,0.00002118644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1039932,0.00996,0.009348635,0.2488968,0.01047301,0.0001854657,0.0005528784,0.00106951,0.6155204],"genre_scores_gemma":[0.3447789,0.004632118,0.003504488,0.07307801,0.00181995,0.0002819706,0.0004621949,0.001009503,0.5704329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04440887,"threshold_uncertainty_score":0.1485624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005896461428303289,"score_gpt":0.2052892619034454,"score_spread":0.1993928004751421,"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."}}