{"id":"W4367158820","doi":"10.7202/1081335ar","title":"NESHAKI: KINFOLK AND TRADE","year":2021,"lang":"en","type":"article","venue":"Culture","topic":"Australian Indigenous Culture and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Portrait; Variety (cybernetics); Focus (optics); Raising (metalworking); History; Political science; Genealogy; Art history; Engineering; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005933058,0.00005518747,0.00007608706,0.000007833209,0.0005135544,0.00005465069,0.00006507189,0.0001316211,0.0006294723],"category_scores_gemma":[0.0000290136,0.00004746698,0.00003412235,0.0001068914,0.0001546675,0.00009386511,0.000009206268,0.0001101748,0.00008684194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003662083,"about_ca_system_score_gemma":0.00009253985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508,"about_ca_topic_score_gemma":0.002696985,"domain_scores_codex":[0.9994867,0.00004081259,0.00005899047,0.0001254544,0.000118063,0.000170013],"domain_scores_gemma":[0.9997773,0.000006073524,0.00002191317,0.00006912017,0.00002825937,0.00009735981],"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":[0.000002323582,0.00003675382,0.001405273,0.00001635269,0.00002043958,0.00009710863,0.4892736,4.753288e-7,0.001010819,0.08035271,0.4247373,0.003046856],"study_design_scores_gemma":[0.00006168433,0.000005962389,0.001586442,0.0000058702,0.00001052348,0.000006891446,0.02219975,5.618127e-8,0.00015119,0.0003728015,0.9755239,0.00007487863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0160414,0.006130674,0.0000149776,0.008001909,0.0005510919,0.0001222904,0.00001146225,0.00009234077,0.9690338],"genre_scores_gemma":[0.6534097,0.0008435074,0.0006395525,0.002439269,0.001114088,0.000003846632,0.00002262359,0.00001098415,0.3415165],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6373683,"threshold_uncertainty_score":0.6892281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236615626393503,"score_gpt":0.2923984275251869,"score_spread":0.2700322712612518,"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."}}