{"id":"W6889482324","doi":"10.25625/xn7lqy/wbglum","title":"method_protocols.pdf","year":2021,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004130465,0.003843823,0.00270546,0.006456209,0.00164414,0.006427664,0.005172489,0.004151242,0.4827034],"category_scores_gemma":[0.02005178,0.002428711,0.002543181,0.009346556,0.001047236,0.003856955,0.003988607,0.003161461,0.4942382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524933,"about_ca_system_score_gemma":0.004346113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228388,"about_ca_topic_score_gemma":0.02307527,"domain_scores_codex":[0.9971502,0.0007284228,0.0004168178,0.0009404294,0.0004051821,0.0003588349],"domain_scores_gemma":[0.9902564,0.004786046,0.0005468252,0.002577553,0.001250512,0.000582699],"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":[0.00005613574,0.00001454358,0.0001279814,0.001320701,0.00002647394,0.000007275248,0.00002598897,0.00009625108,0.00005119365,0.0004747726,0.9958555,0.001943134],"study_design_scores_gemma":[0.00044657,0.00001577562,0.0005619344,0.0004138776,0.00003270003,0.0000246076,0.00006011693,0.0001706131,0.0002360765,0.002778978,0.9952223,0.00003650361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002976843,0.00006649172,0.0001480666,0.0001031123,0.00002830175,0.00003377731,0.9972248,0.001279139,0.001086484],"genre_scores_gemma":[0.0002804691,0.0001246312,0.0009393412,0.0001788425,0.0000190029,0.000584354,0.9947377,0.001031361,0.002104403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5172966,"threshold_uncertainty_score":0.7378608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3553612040754665,"score_gpt":0.580729319002461,"score_spread":0.2253681149269945,"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."}}