{"id":"W6951056465","doi":"10.5683/sp2/w43pfi","title":"OCTID citation","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Preprint; Citation; Coherence (philosophical gambling strategy); Optical coherence tomography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302046,0.003318286,0.002141242,0.006292942,0.00187884,0.005431426,0.003967012,0.002693771,0.140766],"category_scores_gemma":[0.01091647,0.0006899711,0.001229408,0.00713977,0.0005848386,0.003947602,0.004245099,0.002020825,0.2453248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730146,"about_ca_system_score_gemma":0.003730237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809559,"about_ca_topic_score_gemma":0.02959393,"domain_scores_codex":[0.9976386,0.0002760374,0.0002426589,0.0006651674,0.0008570668,0.0003205286],"domain_scores_gemma":[0.9961351,0.0006093808,0.0002514919,0.001065142,0.001376905,0.0005619525],"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":[0.00002869804,0.000009632735,0.0003011329,0.0002280597,0.000009183927,0.00001473726,0.000004969708,0.0001164099,0.00007149078,0.0002051217,0.9946293,0.004381321],"study_design_scores_gemma":[0.00007294247,0.00001745149,0.001279373,0.0001886082,0.0000204731,0.0001191193,0.00002988955,0.0007334968,0.0003977777,0.001265796,0.9958444,0.00003058762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005891146,0.001272522,0.0007081055,0.00129115,0.0009210598,0.0000670122,0.9827591,0.003177038,0.009214991],"genre_scores_gemma":[0.0009860477,0.0003627041,0.0006716996,0.0003593301,0.0001155449,0.00006439472,0.9925213,0.0002624609,0.004656491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.140766,"threshold_uncertainty_score":0.4709091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964393776049307,"score_gpt":0.2996199618556309,"score_spread":0.2699760240951378,"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."}}