{"id":"W3082822619","doi":"10.33137/incite.3.34716","title":"Every Outcome Counts","year":2020,"lang":"en","type":"article","venue":"in cite journal","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Outcome (game theory); Convergence (economics); Immigration; Graphics; Graph; Graph theory; Computer science; Psychology; Mathematical economics; Mathematics; Theoretical computer science; Political science; Economics; Combinatorics; Computer graphics (images); Law; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003210864,0.0000188942,0.00005035882,0.00002602536,0.00009439744,0.00007520635,0.0001158574,0.00001078967,0.0009006026],"category_scores_gemma":[0.0001465307,0.00001606345,0.00003113711,0.0001135814,0.00001896727,0.0001181649,0.00001384214,0.0001185065,0.0001572678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001601113,"about_ca_system_score_gemma":0.00003447665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000334098,"about_ca_topic_score_gemma":0.00007728457,"domain_scores_codex":[0.9995825,0.00004476409,0.00009712598,0.00003633587,0.0001539338,0.00008539831],"domain_scores_gemma":[0.9998421,0.00002852667,0.00003151271,0.00002176929,0.000009202788,0.0000668622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000540728,0.0000237577,0.8564594,0.000004641818,0.00002199484,0.0001234796,0.01078815,0.00005070437,0.0001327647,0.004913453,0.06821707,0.05925923],"study_design_scores_gemma":[0.00008288152,0.000005813625,0.03820229,0.00001239385,0.000005533089,0.00000215857,0.0009466006,0.0002243576,0.000001512954,0.001211624,0.9592475,0.00005728371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3682872,0.0003569128,0.001615626,0.0273289,0.0009139962,0.0000567975,0.00001289469,0.00003386916,0.6013938],"genre_scores_gemma":[0.9972004,0.000113121,0.0001773414,0.001145464,0.0005164093,1.082779e-7,4.152269e-7,0.000001885828,0.000844834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8910305,"threshold_uncertainty_score":0.9860967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257165480444337,"score_gpt":0.3965629275630106,"score_spread":0.2708463795185769,"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."}}