{"id":"W3215101140","doi":"10.25316/ir-17002","title":"Casting a stone in the water : an exploration of truth and reconciliation in the context of a public utility","year":2021,"lang":"en","type":"article","venue":"VIURRSpace (Vancouver Island University)","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Casting; Artificial intelligence; Geology; Computer science; Archaeology; History; Art; Visual arts","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01114091,0.0005894054,0.0008074301,0.00324273,0.0602456,0.0265685,0.004479834,0.006229414,0.005202644],"category_scores_gemma":[0.01085609,0.00069766,0.0004982098,0.004529509,0.07230069,0.01165578,0.01300414,0.01048074,0.0003758035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0647665,"about_ca_system_score_gemma":0.06918038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4839936,"about_ca_topic_score_gemma":0.6679783,"domain_scores_codex":[0.9866524,0.00885405,0.0001710474,0.0006730819,0.001200479,0.002448902],"domain_scores_gemma":[0.9887756,0.007512521,0.000645195,0.0003978399,0.00113361,0.001535263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007125304,0.00001552414,0.0004413271,0.00006142171,0.000003178854,0.0006625541,0.9629939,0.0000626577,0.00008111633,0.03177164,0.001091481,0.002808185],"study_design_scores_gemma":[0.000001526888,0.000004986945,0.0005309265,0.0001424926,0.000003161388,0.00006355622,0.9727668,0.00007007036,0.00004639392,0.00364989,0.02271255,0.000007533331],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6425399,0.009408525,0.00857504,0.07574871,0.000403803,0.0003127835,0.000126317,0.00008000106,0.2628049],"genre_scores_gemma":[0.9866801,0.001589241,0.001245449,0.001484053,0.0000313741,0.00005816545,0.00002252586,0.00004032455,0.008848814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5160064,"threshold_uncertainty_score":0.962353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05539866147787118,"score_gpt":0.2627377789798189,"score_spread":0.2073391175019477,"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."}}