{"id":"W2890815710","doi":"10.1386/public.29.57.250_7","title":"CHERYL SIM - YMX: MIGRATION, LAND, AND LOSS AFTER MIRABEL - Immersive Installation as Counter-Archive","year":2018,"lang":"en","type":"article","venue":"Public","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Documentation; Embodied cognition; Point (geometry); Computer science; Work (physics); History; Visual arts; Sociology; Art; Engineering; Literature; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007273564,0.0001133408,0.00009341581,0.00008911107,0.0002580575,0.0003548918,0.00006853161,0.00004357831,0.001728778],"category_scores_gemma":[0.0000180404,0.00008910187,0.00004510958,0.00005146375,0.0003371818,0.0005418243,0.00003007999,0.00008506075,0.0001406111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100071,"about_ca_system_score_gemma":0.00002065894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006209306,"about_ca_topic_score_gemma":0.01066481,"domain_scores_codex":[0.9993839,0.00002853724,0.0001159965,0.0001736782,0.0001214657,0.0001764493],"domain_scores_gemma":[0.9995717,0.00002085057,0.00005358554,0.00009925695,0.0001822702,0.00007236964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005837975,0.0005716715,0.1681035,0.0001557088,0.0005237579,0.00002474199,0.3819903,2.3937e-7,0.00223148,0.3753959,0.06839269,0.002026155],"study_design_scores_gemma":[0.0004491891,0.0002499913,0.02171911,0.00002145978,0.00002379988,0.000006007127,0.003022864,0.00006221126,0.000245194,0.004969197,0.9690117,0.0002192423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97125,0.0001918114,0.00002173804,0.00100464,0.0001986974,0.0001432526,0.0001165029,0.00003210623,0.02704126],"genre_scores_gemma":[0.9966782,0.00003130496,0.000007796139,0.001238162,0.0006264368,0.00002180233,0.0001168252,0.000009818765,0.001269606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.900619,"threshold_uncertainty_score":0.9991838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175672327656986,"score_gpt":0.2424049019695092,"score_spread":0.2206481786929393,"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."}}