{"id":"W4387721200","doi":"10.1117/12.2679882","title":"Integrating Earth observation science into environmental impact assessment","year":2023,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Earth (classical element); Earth observation; Astrobiology; Environmental science; Environmental impact assessment; Earth science; Computer science; Remote sensing; Engineering; Geology; Political science; Aerospace engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008346929,0.0006050216,0.0004676569,0.002312691,0.0006549147,0.004289635,0.0009149506,0.0006786676,0.004141122],"category_scores_gemma":[0.01164864,0.0004090362,0.0004832388,0.003719471,0.0006245212,0.004014196,0.003098825,0.001793122,0.001336098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955519,"about_ca_system_score_gemma":0.007232164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2003224,"about_ca_topic_score_gemma":0.2656124,"domain_scores_codex":[0.9959971,0.001382179,0.0001616479,0.0002572869,0.0019957,0.0002062054],"domain_scores_gemma":[0.9917921,0.002961747,0.0002967853,0.0009579323,0.003662227,0.0003292729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008891585,0.000144205,0.03605773,0.0009346242,0.0003056583,0.0001075819,0.0008784488,0.01959148,0.004425676,0.03122227,0.04464255,0.8616008],"study_design_scores_gemma":[0.0001125563,0.0001916011,0.06620036,0.001769186,0.0003774284,0.0001375071,0.005752319,0.0697028,0.008639324,0.1049231,0.7419805,0.0002133976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04398817,0.01536633,0.6790364,0.04038227,0.001105644,0.001725165,0.01623963,0.004759687,0.1973967],"genre_scores_gemma":[0.280971,0.0198403,0.6685785,0.003507996,0.000423283,0.0004831923,0.008507421,0.0005886742,0.01709959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2003224,"threshold_uncertainty_score":0.3983127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167633572154487,"score_gpt":0.2865326077821841,"score_spread":0.2648562720606393,"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."}}