{"id":"W7052628711","doi":"","title":"Smoke from Alaska Fires: Natural Hazards","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moderate-resolution imaging spectroradiometer; Spectroradiometer; Smoke; Haze; Bay; Natural (archaeology)","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":[0.0002498309,0.0002248379,0.0001022372,0.0006880268,0.001080685,0.001073894,0.0002824687,0.0005504068,0.03629802],"category_scores_gemma":[0.0006254677,0.0001322327,0.0001480766,0.0007681216,0.0001600468,0.0005017823,0.0009285976,0.0003581665,0.005112992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622007,"about_ca_system_score_gemma":0.0004865356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506766,"about_ca_topic_score_gemma":0.04741817,"domain_scores_codex":[0.999855,0.00001828022,0.000007177231,0.00001401184,0.00008319864,0.00002233162],"domain_scores_gemma":[0.9997466,0.00004937619,0.00003651865,0.00003095493,0.00006407181,0.00007246419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001740679,0.0002173914,0.1139032,0.0006025661,0.00003541707,0.002779449,0.003044435,0.001317403,0.001813148,0.004004571,0.3225154,0.549593],"study_design_scores_gemma":[0.00002181828,0.0001538446,0.3671056,0.0009575608,0.00005695665,0.003474138,0.007807663,0.001181026,0.001648674,0.004046151,0.6135112,0.00003533704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.120736,0.01198552,0.002784913,0.004344312,0.0008552557,0.0001425412,0.00704134,0.0006446264,0.8514655],"genre_scores_gemma":[0.6519498,0.02540436,0.002445616,0.001354712,0.001134539,0.0001092087,0.007141084,0.0001900213,0.3102706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03629802,"threshold_uncertainty_score":0.1214289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003147462038154311,"score_gpt":0.1717331276196148,"score_spread":0.1685856655814605,"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."}}