{"id":"W6969332549","doi":"10.5683/sp3/s1t3x8","title":"ARCA Finder","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Software; Point (geometry); Graphical user interface; Position (finance); Frame (networking); Listing (finance)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[],"category_scores_codex":[0.0002925048,0.0003664677,0.0003879123,0.000361408,0.00007068807,0.00007826427,0.000775102,0.0004327863,0.0004201855],"category_scores_gemma":[0.0003688268,0.0003517677,0.0001563324,0.0004002755,0.00008475333,0.00005060331,0.0002578386,0.0004741425,0.09464768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377047,"about_ca_system_score_gemma":0.0001708567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3190915,"about_ca_topic_score_gemma":0.2137098,"domain_scores_codex":[0.9980138,0.00008600537,0.0002831021,0.0004994491,0.000631602,0.0004860504],"domain_scores_gemma":[0.9978196,0.0001174034,0.0001858904,0.001650559,0.00007247365,0.0001540481],"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":[0.00001225624,0.00003310625,0.000001152915,0.00006281076,0.00009384418,0.0002398551,0.000006938565,0.000002382721,0.000001042408,0.00002721904,0.9994562,0.00006321364],"study_design_scores_gemma":[0.0001811316,0.00001800363,0.0006118761,0.00006326192,0.0001218347,0.000009370276,0.000007323646,0.000002007297,0.000003444106,0.0003186029,0.9982749,0.0003882598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.517293e-7,0.00004932696,2.292925e-7,0.00009782793,0.0002770569,0.0002202533,0.9967009,0.0004388806,0.002215328],"genre_scores_gemma":[5.714571e-8,0.00009074579,0.0000166557,0.0002451945,0.0006701747,0.0000911105,0.9976912,0.0002087612,0.0009861739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1053817,"threshold_uncertainty_score":0.9998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392788511317408,"score_gpt":0.3039052796855869,"score_spread":0.2646264285538462,"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."}}