{"id":"W4399929803","doi":"10.36939/pawaatamihk/vol1no2/art58","title":"Metis Life","year":2024,"lang":"en","type":"article","venue":"Pawaatamihk A Journal of Métis Thinkers","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003039533,0.000341316,0.0005945597,0.0009057801,0.0001383616,0.0004079379,0.0007631243,0.0001501004,0.001259176],"category_scores_gemma":[0.001026583,0.0002744064,0.0005774382,0.001082463,0.0001822134,0.001171681,0.0001290639,0.001052783,0.005213351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349476,"about_ca_system_score_gemma":0.0006855269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005195049,"about_ca_topic_score_gemma":0.00001416299,"domain_scores_codex":[0.9963595,0.000305946,0.00108966,0.0003132579,0.001301261,0.0006303679],"domain_scores_gemma":[0.9977473,0.0004485844,0.0004489952,0.0003941963,0.000319274,0.0006416374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003516901,0.0002171666,0.002423853,0.0002639982,0.0024243,0.004648817,0.00521739,0.0006138124,0.01953308,0.01580288,0.9250915,0.0234115],"study_design_scores_gemma":[0.00247098,0.000897889,0.007340122,0.001633785,0.001145972,0.006074143,0.001987949,0.003278532,0.003819549,0.009503767,0.9607778,0.001069499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764419,0.1506199,0.0146984,0.01916865,0.01778801,0.0009331637,0.0005686468,0.001588213,0.03021596],"genre_scores_gemma":[0.9910107,0.0006887257,0.005665966,0.0005595845,0.0010459,0.00000410465,0.000007106148,0.000203286,0.0008146691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2265916,"threshold_uncertainty_score":0.9999708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690082888211464,"score_gpt":0.2819704219542321,"score_spread":0.2650695930721175,"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."}}