{"id":"W6925728139","doi":"10.17632/g6t3768hth.1","title":"Mold Removal Toronto for Home Mold Infestations","year":2022,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mold; Blue mold","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":[0.0006708583,0.001878034,0.001070665,0.001857286,0.00134903,0.002024381,0.002692758,0.001846037,0.02717261],"category_scores_gemma":[0.003198609,0.0004702202,0.001291829,0.002713244,0.0005861385,0.0008419998,0.001729251,0.001484536,0.03235815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003758389,"about_ca_system_score_gemma":0.004240955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2985314,"about_ca_topic_score_gemma":0.6034544,"domain_scores_codex":[0.9993454,0.00007547079,0.00005398369,0.0001978019,0.000184139,0.0001432203],"domain_scores_gemma":[0.9985409,0.00015699,0.0001490801,0.0003393908,0.000581709,0.0002320054],"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":[0.00007564194,0.00001943263,0.003305195,0.0003189611,0.00003232897,0.00004679355,0.00003687418,0.0002404469,0.00007866515,0.0003594478,0.99288,0.002606076],"study_design_scores_gemma":[0.0001443976,0.00002306381,0.02284478,0.0004610796,0.00005298833,0.0001236423,0.0002751061,0.001082589,0.0004727614,0.001018476,0.973453,0.00004797774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006290724,0.0001447995,0.00009192296,0.0001722755,0.00005371763,0.00001777581,0.9970554,0.0003245726,0.001510472],"genre_scores_gemma":[0.001151581,0.00008161142,0.0002648871,0.00005402221,0.000009286931,0.00004142118,0.9971644,0.00004098255,0.00119186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7014686,"threshold_uncertainty_score":0.5935874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123723988723195,"score_gpt":0.3371772714202268,"score_spread":0.3059400315329949,"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."}}