{"id":"W2810903310","doi":"10.48550/arxiv.1807.00071","title":"GOTO Rankings Considered Helpful","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Goto; Position (finance); Psychology; Computer science; Data science; Sociology; Political science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002565135,0.000413166,0.0004120935,0.0004351668,0.0002389287,0.0002853483,0.0009028839,0.0002762993,0.002478857],"category_scores_gemma":[0.0001526734,0.00047876,0.0002954729,0.0005703648,0.000307875,0.0005024472,0.002068847,0.0004732619,0.005894367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081096,"about_ca_system_score_gemma":0.00009282629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006354358,"about_ca_topic_score_gemma":0.0004822254,"domain_scores_codex":[0.9981931,0.00002447079,0.0002495514,0.001012257,0.00009834731,0.0004222256],"domain_scores_gemma":[0.9980445,0.00008617683,0.0003504517,0.000746534,0.0007402161,0.00003213816],"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":[0.000504766,0.0005086555,0.08036632,0.001497157,0.0006142161,0.001530662,0.0002851172,0.004461423,0.0002296102,0.8641944,0.04333751,0.002470145],"study_design_scores_gemma":[0.001559297,0.0000473261,0.006830693,0.001239639,0.0008208781,0.000008647658,0.0007125478,0.1027209,0.0007077059,0.5402372,0.34245,0.002665203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7355969,0.0001487423,0.01969444,0.0002292784,0.002343487,0.0005905871,0.00001493068,0.0004786795,0.240903],"genre_scores_gemma":[0.9915354,0.00005892305,0.00004552539,0.0007172562,0.001748453,0.000001561502,0.00004127645,0.00004208426,0.005809471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3239572,"threshold_uncertainty_score":0.9997664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09869365992128824,"score_gpt":0.1900032772237742,"score_spread":0.09130961730248598,"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."}}