{"id":"W6945560809","doi":"10.25549/webster-c100-12480","title":"Report on Civil Disturbances in Washington D.C., 1968-04","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Newspaper; Government (linguistics); Economic Justice; Royal Commission; Variety (cybernetics)","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":[0.0006205539,0.001440963,0.0008991217,0.004551886,0.0009206969,0.001999458,0.001397546,0.0007023524,0.01693031],"category_scores_gemma":[0.002826398,0.0005033406,0.0004945983,0.01022593,0.0002502831,0.0006960048,0.0009939711,0.001299879,0.02966768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426908,"about_ca_system_score_gemma":0.003716534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2253162,"about_ca_topic_score_gemma":0.3274215,"domain_scores_codex":[0.999338,0.00005321284,0.00008792018,0.0001757006,0.0002362843,0.0001089298],"domain_scores_gemma":[0.9981139,0.0001855749,0.000317961,0.0002770104,0.0009181958,0.0001874114],"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":[0.00003853501,0.00001740345,0.004905758,0.0001395742,0.00002045754,0.00002911973,0.00002113075,0.0001620718,0.0000439777,0.0001711984,0.9921092,0.002341478],"study_design_scores_gemma":[0.000104367,0.00001524615,0.0705395,0.0003454014,0.00004131231,0.00006237824,0.0003639424,0.0004166109,0.0004279389,0.0003149123,0.9273331,0.00003523083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004509929,0.00003628479,0.00001386105,0.0000372318,0.00001819284,0.000003977741,0.9986951,0.00006080657,0.0006836384],"genre_scores_gemma":[0.0007485493,0.00006098572,0.00006481059,0.00001808044,0.000007283942,0.00003121977,0.9979893,0.00001649358,0.001063169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2253162,"threshold_uncertainty_score":0.4480095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004029779034769178,"score_gpt":0.17944262820515,"score_spread":0.1754128491703809,"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."}}