{"id":"W6906671555","doi":"10.17632/4mn2g8cnsf.1","title":"IIITDMJ_Smoke","year":2023,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite image; Satellite; Satellite imagery; Amazon rainforest; Image processing; Moderate-resolution imaging spectroradiometer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000979843,0.002978072,0.001524795,0.002357156,0.001132723,0.001897989,0.003902411,0.002762798,0.01680388],"category_scores_gemma":[0.002564652,0.0007358933,0.002261605,0.003393305,0.0006421608,0.001591737,0.002232783,0.002094562,0.03421487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412313,"about_ca_system_score_gemma":0.001667681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04210304,"about_ca_topic_score_gemma":0.0931145,"domain_scores_codex":[0.9988453,0.0001662005,0.000106703,0.0003521923,0.0003259374,0.0002036436],"domain_scores_gemma":[0.9991449,0.0001227914,0.0000730098,0.0002988183,0.000242049,0.0001184144],"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":[0.0001388792,0.0001050946,0.001991725,0.0008151656,0.00009285515,0.00007282281,0.00005092951,0.001216981,0.0008120018,0.0005059774,0.9874818,0.006715634],"study_design_scores_gemma":[0.0003882853,0.0001113735,0.01366635,0.0003613158,0.00009011367,0.0003006858,0.0002323755,0.005959789,0.002428887,0.001674716,0.9746717,0.0001143978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001454099,0.0002361558,0.000328132,0.0001637694,0.0001296824,0.00005673352,0.9941692,0.001983204,0.001479019],"genre_scores_gemma":[0.0007739455,0.00005355606,0.0005474561,0.0000547198,0.000007200287,0.00005705227,0.9980326,0.0000532154,0.0004202851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9831961,"threshold_uncertainty_score":0.08371598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300887203534532,"score_gpt":0.2372512003917559,"score_spread":0.2242423283564106,"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."}}