{"id":"W6943987978","doi":"10.17605/osf.io/zd849","title":"PixelMapR","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Data Analysis with R","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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":[],"consensus_categories":[],"category_scores_codex":[0.002671101,0.003724848,0.003669548,0.003352717,0.001369637,0.004155869,0.003222827,0.001359501,0.2270793],"category_scores_gemma":[0.006593494,0.002531708,0.002716935,0.002266485,0.0009754847,0.002404456,0.002209123,0.003081762,0.1426411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009631361,"about_ca_system_score_gemma":0.001888414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286733,"about_ca_topic_score_gemma":0.00426868,"domain_scores_codex":[0.998387,0.0002313736,0.0001566157,0.000701105,0.0003206752,0.000203275],"domain_scores_gemma":[0.9978392,0.0009606984,0.000187907,0.0004804101,0.0004080076,0.0001238214],"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":[0.0007602392,0.0001246468,0.002867455,0.002567852,0.0005251439,0.000311179,0.000618892,0.001941446,0.01433317,0.009531712,0.8959982,0.07042005],"study_design_scores_gemma":[0.0006050969,0.000118374,0.007051681,0.0003719359,0.0004207107,0.000752227,0.0001994804,0.02218993,0.05237991,0.02658767,0.8889267,0.0003964256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003301841,0.0005319355,0.2016786,0.0002916963,0.0004259216,0.0004754145,0.1780636,0.6034399,0.01179125],"genre_scores_gemma":[0.02233969,0.0006097681,0.3467931,0.001123915,0.000211646,0.004777364,0.1597615,0.4429189,0.02146403],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2270793,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491149971168034,"score_gpt":0.2527058773316779,"score_spread":0.2377943776199976,"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."}}