{"id":"W4393766196","doi":"10.5281/zenodo.5247483","title":"#MarchForScience crawl; April 26-30, 2017","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Geography; History","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009886266,0.003191564,0.001610134,0.007289157,0.001335832,0.002934784,0.001839648,0.001840273,0.0128972],"category_scores_gemma":[0.005125049,0.0007203759,0.0008886665,0.01019277,0.0007013217,0.002003149,0.00203985,0.001869548,0.05102309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722944,"about_ca_system_score_gemma":0.004058125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02808744,"about_ca_topic_score_gemma":0.06595351,"domain_scores_codex":[0.9981284,0.0002236384,0.0002211892,0.0003894104,0.0007377208,0.0002996766],"domain_scores_gemma":[0.9977309,0.0003777281,0.0002461134,0.0005894147,0.0007194466,0.0003363692],"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":[0.00008890335,0.00003555108,0.001326394,0.0002833013,0.00002336004,0.00004831808,0.00004081374,0.0001594241,0.0003649451,0.0004699885,0.9940377,0.003121358],"study_design_scores_gemma":[0.0001669741,0.0000318224,0.007841098,0.0001793032,0.00003040443,0.0001681374,0.0001804639,0.001296821,0.001769583,0.001282074,0.9870073,0.00004592773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00188014,0.0002543725,0.0002569224,0.0001431697,0.0001421395,0.00004246452,0.9919025,0.00249956,0.002878689],"genre_scores_gemma":[0.0009216362,0.00008959197,0.0002923148,0.00002410247,0.00001660456,0.00004561275,0.997533,0.0001309476,0.0009462261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9986641,"threshold_uncertainty_score":0.05584788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971811809286762,"score_gpt":0.3834542269251677,"score_spread":0.1862730459964915,"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."}}