{"id":"W6906859569","doi":"10.17632/4mn2g8cnsf","title":"IIITDMJ_Smoke","year":2023,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","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":[0.001043449,0.003538515,0.001774942,0.0027901,0.001276751,0.001981251,0.004110179,0.002905378,0.01727345],"category_scores_gemma":[0.002707549,0.0007972406,0.002353684,0.003770105,0.0006784507,0.001708271,0.002200111,0.002110983,0.03352718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620947,"about_ca_system_score_gemma":0.001795132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06126275,"about_ca_topic_score_gemma":0.1211811,"domain_scores_codex":[0.9985677,0.0002048832,0.0001238445,0.00042856,0.0004356193,0.000239448],"domain_scores_gemma":[0.9990681,0.0001315607,0.0000681844,0.0003355365,0.0002848518,0.0001117708],"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":[0.0001437713,0.0001136219,0.00172448,0.0007084376,0.00009173482,0.0000708575,0.00004708806,0.001447326,0.0008106401,0.000489888,0.9851685,0.009183588],"study_design_scores_gemma":[0.0003333599,0.0001161083,0.01227997,0.0003324164,0.00008885864,0.0003186344,0.0002587613,0.008560427,0.002718083,0.001677214,0.9731908,0.0001254577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001956026,0.0003517842,0.0005196387,0.0001915611,0.0001861692,0.00007267749,0.991975,0.002676907,0.002070188],"genre_scores_gemma":[0.0009491319,0.0000640744,0.0007742962,0.00004865611,0.000009504166,0.00005381756,0.9974651,0.00005893283,0.0005764893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9827266,"threshold_uncertainty_score":0.1218123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2282701177399535,"score_gpt":0.3922050436539432,"score_spread":0.1639349259139897,"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."}}