{"id":"W6949843652","doi":"10.5281/zenodo.16272232","title":"The Civic Space GPS - Quarterly Bulletin 05","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Typology; Space (punctuation); Government (linguistics); Quarter (Canadian coin); Public space; Civil society","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":[0.001226187,0.0006980118,0.0004773635,0.004943171,0.001376019,0.006559338,0.0005510873,0.001126268,0.1056729],"category_scores_gemma":[0.003644255,0.0003724656,0.0002175662,0.004269489,0.000489705,0.001527054,0.001481115,0.001267576,0.07053745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272221,"about_ca_system_score_gemma":0.002863348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244138,"about_ca_topic_score_gemma":0.02072466,"domain_scores_codex":[0.9989503,0.0001322032,0.00008911848,0.0001095863,0.0005927613,0.0001260282],"domain_scores_gemma":[0.9963406,0.0006381744,0.0003373255,0.0002865253,0.001762705,0.0006346311],"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":[0.00002037469,0.00003465269,0.0007643158,0.0001340159,0.000001753476,0.00002855573,0.00009070287,0.00002639695,0.0002573568,0.001231853,0.9560858,0.04132418],"study_design_scores_gemma":[0.000002525644,0.00001130221,0.002092212,0.00004996602,8.509101e-7,0.00001145844,0.00005379638,0.00001763316,0.0000642431,0.00006478694,0.997629,0.000002361093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01259845,0.01339842,0.001377958,0.02665178,0.0231084,0.0007401658,0.06905746,0.002825353,0.850242],"genre_scores_gemma":[0.02874893,0.006710585,0.001427764,0.003340191,0.007225614,0.0004681767,0.03249435,0.0008562934,0.9187281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1056729,"threshold_uncertainty_score":0.353511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098744675071932,"score_gpt":0.2262249870903196,"score_spread":0.2163505195831264,"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."}}