{"id":"W4286457438","doi":"10.4000/interfaces.5289","title":"Susan Schuppli. Material Witness: Media, Forensics, Evidence","year":2022,"lang":"en","type":"article","venue":"Interfaces","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Witness; Argument (complex analysis); Politics; Sociology; Tribunal; History; Law; Aesthetics; Media studies; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001093237,0.0006804892,0.000175157,0.001419359,0.005559721,0.004493683,0.0007925738,0.006234632,0.01895442],"category_scores_gemma":[0.004678482,0.0003174274,0.0001548502,0.0008038377,0.005574313,0.007656695,0.003174709,0.005168766,0.005150191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002881084,"about_ca_system_score_gemma":0.00369481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257336,"about_ca_topic_score_gemma":0.03487378,"domain_scores_codex":[0.9990106,0.0003458942,0.00004248029,0.0001517031,0.0003690789,0.00008021182],"domain_scores_gemma":[0.9984714,0.0008471019,0.0001016517,0.00004430723,0.000274909,0.0002605852],"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":[0.00000756703,0.000009011593,0.0001854193,0.0001193352,0.000002330155,0.0001651809,0.004286169,0.00001476745,0.00008898875,0.09438559,0.8432578,0.05747775],"study_design_scores_gemma":[0.000003830932,0.000006733884,0.000293518,0.0003627235,0.000001919012,0.0003664538,0.003970019,0.00003446567,0.00017375,0.03067386,0.9641022,0.0000105265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001465781,0.1280464,0.002282002,0.6611984,0.01613922,0.00005906663,0.0001177803,0.0001562571,0.1905351],"genre_scores_gemma":[0.1056328,0.1200728,0.004430821,0.2999232,0.01676059,0.0002678795,0.0001322266,0.0002911814,0.4524884],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01895442,"threshold_uncertainty_score":0.06340885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0720469667825393,"score_gpt":0.2713385805960318,"score_spread":0.1992916138134925,"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."}}