{"id":"W2922421423","doi":"10.1016/j.jlp.2019.03.001","title":"Transient large-scale chlorine releases in the Jack Rabbit II field tests: Rainout source data analysis from video records","year":2019,"lang":"en","type":"article","venue":"Journal of Loss Prevention in the Process Industries","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Defence Research and Development Canada; U.S. Department of Homeland Security","keywords":"Environmental science; Transient (computer programming); Scale (ratio); Computer science; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000277528,0.0001976159,0.0002046097,0.0007189151,0.0002448523,0.0003248912,0.0004236008,0.0002725743,0.001020949],"category_scores_gemma":[0.0008801898,0.00009027927,0.0001359414,0.0006138409,0.0001764064,0.0002328178,0.0001826273,0.0002616564,0.000253124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967191,"about_ca_system_score_gemma":0.0003311441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951475,"about_ca_topic_score_gemma":0.03448826,"domain_scores_codex":[0.9998837,0.000006408484,0.000007221343,0.00002431627,0.00005229836,0.00002596805],"domain_scores_gemma":[0.9994521,0.0001402423,0.0001006195,0.00004295573,0.0002181952,0.00004590589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002931852,0.001025481,0.5117784,0.0004778865,0.0001925566,0.00255901,0.002031084,0.01449007,0.3186413,0.0003459407,0.005972591,0.1395539],"study_design_scores_gemma":[0.00004892956,0.0005865617,0.9325622,0.00004398545,0.00007118835,0.0001964488,0.001170816,0.02227815,0.04112666,0.00009371034,0.001782566,0.00003866016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955236,0.00004239452,0.001366746,0.00001601744,0.000006358623,0.00005226475,0.001362232,0.0001132737,0.001517171],"genre_scores_gemma":[0.997784,0.00003815563,0.0006968611,0.000008844844,0.000002298897,0.00002230454,0.0009696197,0.00001597677,0.0004619354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951475,"threshold_uncertainty_score":0.03880233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419652829885667,"score_gpt":0.3265410464602808,"score_spread":0.2923445181614241,"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."}}