{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003397831,0.0001696013,0.0001432302,0.0004555221,0.006904217,0.002128081,0.0003131381,0.0005337892,0.02533864],"category_scores_gemma":[0.001039325,0.000138319,0.00004902524,0.001110594,0.001773466,0.001610781,0.001171249,0.001064474,0.001586205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003877508,"about_ca_system_score_gemma":0.002886462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1175528,"about_ca_topic_score_gemma":0.3242343,"domain_scores_codex":[0.9997714,0.0000749252,0.00001702793,0.00003163255,0.00005350196,0.00005148266],"domain_scores_gemma":[0.999612,0.0001243554,0.00005282555,0.00003680215,0.0001102334,0.00006377389],"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":[0.0001207744,0.00006099015,0.009765431,0.001010269,0.00001716766,0.004591646,0.6013067,0.00007497083,0.002359555,0.1331859,0.09537239,0.1521342],"study_design_scores_gemma":[0.000003172685,0.00001862614,0.01799827,0.0004119967,0.000006066135,0.0007833953,0.1524457,0.0000452619,0.0004437012,0.002101692,0.8257231,0.00001908544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.157454,0.01308916,0.0006022737,0.01024028,0.0008407585,0.00004396356,0.0003618395,0.00005765892,0.8173102],"genre_scores_gemma":[0.5520371,0.006683742,0.0006914259,0.002134984,0.00008401542,0.00005432965,0.0001339344,0.00005411417,0.4381264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1175528,"threshold_uncertainty_score":0.2337372,"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."}}