{"id":"W6931492696","doi":"10.5281/zenodo.5324180","title":"Spirodiscus groenlandicus McIntosh 1877, comb. nov.","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Tube (container); Diffraction; Sample (material)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002038784,0.0007870552,0.0003507563,0.001515509,0.001048894,0.0005110852,0.0005540517,0.0007312873,0.01067837],"category_scores_gemma":[0.0006513247,0.0002619846,0.0001641185,0.001037095,0.0006194787,0.001467115,0.0009128468,0.0005447338,0.007201662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007319266,"about_ca_system_score_gemma":0.0007954505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309784,"about_ca_topic_score_gemma":0.02033615,"domain_scores_codex":[0.9997621,0.00001604554,0.00002414445,0.00006752004,0.00009770123,0.00003241876],"domain_scores_gemma":[0.9997578,0.00004030647,0.00006778272,0.00001840881,0.0000887499,0.00002687631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003586361,0.0001527173,0.06510563,0.002470924,0.0001783894,0.005003911,0.002958845,0.001617135,0.03325696,0.00809984,0.1179379,0.7628591],"study_design_scores_gemma":[0.0001220535,0.0004110828,0.2293314,0.001393227,0.0001797116,0.01256493,0.002675686,0.001116901,0.004372631,0.002658141,0.7451083,0.00006588839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3952076,0.05954974,0.01146228,0.002676734,0.005299428,0.001727205,0.01619572,0.000978702,0.5069026],"genre_scores_gemma":[0.8729112,0.02429898,0.01333901,0.0033254,0.001394169,0.0008845152,0.01918959,0.0000858964,0.06457116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01309784,"threshold_uncertainty_score":0.03572273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513080021987928,"score_gpt":0.2633358566934818,"score_spread":0.2182050564736025,"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."}}