{"id":"W4399713069","doi":"10.32920/26046655","title":"Screening (Im)materiality: On Virtually Programming Planetary Ruins & Other Possibilities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; York University; University of Toronto","funders":"","keywords":"Exhibition; Materiality (auditing); Context (archaeology); Space (punctuation); Visual arts; Process (computing); Computer science; Interface (matter); Multimedia; Sociology; Art; Aesthetics; History; Programming language; Archaeology","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":[0.003096541,0.0005219359,0.000189023,0.001216849,0.005202616,0.005974981,0.001177883,0.001109592,0.01189028],"category_scores_gemma":[0.009120774,0.0002663369,0.0002811079,0.0007088677,0.01513878,0.007538592,0.006637317,0.002253506,0.001108797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578841,"about_ca_system_score_gemma":0.001183153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573253,"about_ca_topic_score_gemma":0.00301962,"domain_scores_codex":[0.9972258,0.001938575,0.00004386071,0.0002450342,0.0003061564,0.0002405929],"domain_scores_gemma":[0.9953993,0.003298127,0.0002149566,0.0006142611,0.000241487,0.0002317862],"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":[0.00008818317,0.00008451039,0.002631535,0.0002752292,0.000007222103,0.00114146,0.5677203,0.0004403594,0.004216667,0.2913734,0.008158161,0.123863],"study_design_scores_gemma":[0.00001991397,0.0001664633,0.002878921,0.0006253536,0.00002475445,0.001476765,0.3802346,0.001198837,0.01285084,0.03282275,0.5676622,0.00003854935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3980663,0.001312042,0.04377667,0.0110571,0.0002623957,0.000192772,0.00006535117,0.0004523431,0.544815],"genre_scores_gemma":[0.9528268,0.0008523429,0.009633869,0.0006496616,0.00005727173,0.0001050788,0.00002784602,0.0002895817,0.0355576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189028,"threshold_uncertainty_score":0.03977698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688122191783515,"score_gpt":0.3358786505646684,"score_spread":0.2689974286468333,"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."}}