{"id":"W2016918833","doi":"10.2113/gseegeosci.14.1.54","title":"Investigation, Remediation and Protection of Land Resources","year":2008,"lang":"en","type":"article","venue":"Environmental and Engineering Geoscience","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Icon; Download; Subject (documents); Environmental remediation; World Wide Web; Library science; Computer science; Engineering; Ecology","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":[0.001024251,0.0008630033,0.001100227,0.003528493,0.0006636103,0.003041871,0.001383119,0.00231494,0.0339763],"category_scores_gemma":[0.003594405,0.0004049697,0.0005923564,0.00408403,0.001248007,0.003239709,0.0009567108,0.002138893,0.02287333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202674,"about_ca_system_score_gemma":0.00329503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004912999,"about_ca_topic_score_gemma":0.01057692,"domain_scores_codex":[0.9987061,0.0001478243,0.00006960352,0.0001781206,0.0008397521,0.00005865375],"domain_scores_gemma":[0.9985433,0.0003840704,0.0001164599,0.0000621688,0.0008136742,0.00008042686],"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":[0.00002379868,0.0000391844,0.0001651089,0.002761182,0.00002262643,0.00007210428,0.000112438,0.0001648218,0.0006623457,0.006049098,0.5672066,0.4227206],"study_design_scores_gemma":[0.000002502271,0.00001286456,0.0002257615,0.000685692,0.000007682045,0.000134213,0.00004474178,0.00002124962,0.0001336021,0.0007296223,0.9979973,0.000004649072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0003938021,0.9273576,0.001018123,0.01101408,0.006992288,0.00007372134,0.0002086682,0.00007716651,0.05286455],"genre_scores_gemma":[0.003516471,0.83999,0.001386035,0.004715551,0.00384995,0.0000605422,0.0003746424,0.0000542239,0.1460525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0339763,"threshold_uncertainty_score":0.113662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0083370271667554,"score_gpt":0.1343311505710882,"score_spread":0.1259941234043327,"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."}}