{"id":"W4408804750","doi":"10.28968/cftt.v11i1.41793","title":"Surveillant Metrics","year":2025,"lang":"en","type":"article","venue":"Catalyst Feminism Theory Technoscience","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008415845,0.0001749002,0.000190347,0.00004907127,0.0004186473,0.00009749963,0.0009728315,0.0001487276,0.0001352252],"category_scores_gemma":[0.0003533518,0.00005828659,0.00009398027,0.00337117,0.0002571971,0.0001096616,0.000259322,0.0001782334,0.00006857419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003829095,"about_ca_system_score_gemma":0.00002141664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002264343,"about_ca_topic_score_gemma":0.00003220719,"domain_scores_codex":[0.9986494,0.00005022837,0.0002158782,0.0004725176,0.0002545747,0.0003573964],"domain_scores_gemma":[0.9992575,0.0003622522,0.00007511397,0.0001527873,0.00006732412,0.000085044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000879275,0.0000926717,0.001153838,0.000007411284,0.000009505622,0.000008478595,0.00005561974,3.130554e-7,0.7287014,0.1134623,0.004770971,0.1517287],"study_design_scores_gemma":[0.0002810887,0.0003100503,0.05613891,0.00009009038,0.00005295579,0.00005046485,0.004820506,0.00004514133,0.6015555,0.06829157,0.2674036,0.0009601414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115113,0.001337617,0.0004697946,0.005352845,0.001012598,0.0004946183,0.0001252872,0.001002826,0.07869311],"genre_scores_gemma":[0.9955373,0.00003834808,0.0000518869,0.0004806748,0.00006113871,0.00001365569,0.00002992728,6.187101e-7,0.003786484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2626326,"threshold_uncertainty_score":0.3219939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007384025977931688,"score_gpt":0.2066639402597875,"score_spread":0.1992799142818558,"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."}}