{"id":"W7051412163","doi":"","title":"Okay, Google, Can I Trust You? An Anti-trust Argument for Antitrust","year":2023,"lang":"en","type":"article","venue":"PhilPapers (PhilPapers Foundation)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University; King's College London; Harvard University","keywords":"Argument (complex analysis); Power (physics); Big data; Politics; Big business; Component (thermodynamics); Express trust","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.0003346712,0.0004702468,0.000408336,0.000343515,0.0006353497,0.0002904464,0.0004792835,0.0001853416,0.000335871],"category_scores_gemma":[0.0001950473,0.0005203757,0.0001688893,0.0009571483,0.0001454996,0.0004205835,0.00004892042,0.0002392251,0.0007913767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337441,"about_ca_system_score_gemma":0.00009916854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003809698,"about_ca_topic_score_gemma":0.0001347367,"domain_scores_codex":[0.997566,0.00003105962,0.0005414222,0.0006522064,0.0003877112,0.0008216013],"domain_scores_gemma":[0.9984643,0.000253597,0.00009710711,0.0007007899,0.0001395976,0.0003445356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007969548,0.0009822154,0.01427158,0.0008601974,0.001372958,0.00004928279,0.003171711,0.1794839,0.1188285,0.5217713,0.02518879,0.1339399],"study_design_scores_gemma":[0.003125262,0.0002469971,0.03426756,0.0001023783,0.0003555885,0.00002922356,0.001574249,0.09310293,0.02237895,0.0103715,0.8320213,0.002424021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962119,0.00004831236,0.0004513124,0.003162869,0.001350256,0.001502053,0.0004713204,0.0020743,0.02882062],"genre_scores_gemma":[0.9931958,0.0006233915,0.001731195,0.0002973448,0.0004720555,0.0007583567,0.002100874,0.000172432,0.0006485463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8068326,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927578319185794,"score_gpt":0.2510762126475454,"score_spread":0.2318004294556874,"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."}}