{"id":"W4285078803","doi":"10.11141/ia.59.3","title":"Still Entombed After All These Years: The continuing twists and turns of a maze game","year":2022,"lang":"en","type":"article","venue":"Internet Archaeology","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University; University of Calgary","funders":"","keywords":"Objectivity (philosophy); Serendipity; Context (archaeology); Computer science; Archaeology; Data science; History; Epistemology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002039898,0.0005155035,0.0002791899,0.001254582,0.003842715,0.005059401,0.0007260173,0.0008999595,0.00242778],"category_scores_gemma":[0.009824404,0.0003830315,0.0002224838,0.0007905693,0.008000492,0.004135594,0.002977567,0.001619626,0.0005253747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378741,"about_ca_system_score_gemma":0.0009208864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004110653,"about_ca_topic_score_gemma":0.0139709,"domain_scores_codex":[0.9976018,0.001614508,0.00004577762,0.0002166319,0.0003215047,0.000199818],"domain_scores_gemma":[0.9964362,0.002140008,0.0002564568,0.0003528162,0.0003156828,0.00049872],"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":[0.0002530764,0.00005833932,0.01050489,0.0001404755,0.00002335181,0.002578001,0.8697047,0.00044937,0.003963221,0.04429689,0.008525911,0.05950174],"study_design_scores_gemma":[0.0000195778,0.0001903505,0.01764112,0.0004599087,0.00003521697,0.003169396,0.55721,0.001339345,0.003378449,0.01760613,0.3988357,0.0001148797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306906,0.001095493,0.01510746,0.00334516,0.0002337182,0.00006269503,0.0001388188,0.0001596144,0.04916629],"genre_scores_gemma":[0.982659,0.00034437,0.006027474,0.0002595889,0.0000237329,0.00002761353,0.00007875445,0.0001709965,0.01040838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005059401,"threshold_uncertainty_score":0.01078814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359750147022319,"score_gpt":0.2798990350357209,"score_spread":0.2663015335654977,"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."}}