{"id":"W4404331567","doi":"10.29173/irie537","title":"A Rossian Method for Applying Principles in AI","year":2024,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.07007466,0.002309438,0.001922971,0.008520329,0.00503053,0.011415,0.005967967,0.008120483,0.01578392],"category_scores_gemma":[0.084555,0.001444139,0.004196798,0.005949109,0.03807388,0.01593593,0.009286495,0.0131973,0.008598638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00646394,"about_ca_system_score_gemma":0.009049596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003817098,"about_ca_topic_score_gemma":0.003632091,"domain_scores_codex":[0.8974422,0.07941137,0.00529556,0.006920802,0.009631435,0.00129875],"domain_scores_gemma":[0.9313694,0.05155911,0.002919625,0.007675019,0.00574176,0.0007351457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000204832,0.00001416137,0.00008792128,0.0001990718,0.00001869426,0.00005553901,0.001668624,0.0003781761,0.00009130883,0.9763255,0.005946029,0.01519445],"study_design_scores_gemma":[0.00002729344,0.00002276472,0.00007585642,0.0002944947,0.0000192552,0.0001149371,0.000361637,0.001507011,0.0002104687,0.8823836,0.1149521,0.00003058767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008729686,0.00225331,0.8828966,0.01609283,0.001715468,0.001077582,0.000292416,0.0004365643,0.0943623],"genre_scores_gemma":[0.04350435,0.002328056,0.9254785,0.004254146,0.00108062,0.004874545,0.000254307,0.0004714383,0.01775406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07007466,"threshold_uncertainty_score":0.3705947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239744130353296,"score_gpt":0.5067476155746301,"score_spread":0.3827732025393006,"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."}}