{"id":"W4398852159","doi":"10.7910/dvn/qtoiqf/jefic1","title":"scrapers_article.RData","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scraper site; Geography; Computer science; World Wide Web","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":[0.0006332851,0.0006924223,0.0007037585,0.0004129357,0.0001494746,0.0002911703,0.002584214,0.0004474922,0.3123157],"category_scores_gemma":[0.0005411396,0.0006901695,0.0002121376,0.0004507714,0.0002180925,0.0009706894,0.001973902,0.0008258869,0.995097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451135,"about_ca_system_score_gemma":0.0002782439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005802797,"about_ca_topic_score_gemma":0.0002466939,"domain_scores_codex":[0.9961075,0.0002063778,0.0005529517,0.001239241,0.0009932186,0.0009006661],"domain_scores_gemma":[0.9921806,0.0001274001,0.0003890743,0.006840721,0.0001136499,0.0003485363],"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":[0.0001219077,0.0001849134,0.00001029021,0.0001436811,0.0001840749,0.000226049,0.000009987563,0.000007341444,0.000343784,0.00001594066,0.9986832,0.00006881716],"study_design_scores_gemma":[0.001036419,0.00006351841,0.00003190145,0.0001233756,0.000408279,0.00004164451,0.00004806444,0.00006143426,0.00005383004,0.000009182042,0.997291,0.0008312972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002875918,9.496046e-7,0.00000355462,0.000003598116,0.001243718,0.0006428525,0.9973633,0.0001806014,0.000532616],"genre_scores_gemma":[0.000007656192,0.0001312362,0.000237469,0.0007915098,0.0003933962,0.00002933508,0.997297,0.000157922,0.0009544807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6827813,"threshold_uncertainty_score":0.9995549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012375292772027,"score_gpt":0.2667621969458742,"score_spread":0.236638444018154,"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."}}