{"id":"W7069808011","doi":"","title":"Organochlorine pesticides, PCBs, trace elements and metals in western pond turtle eggs from Oregon","year":2007,"lang":"en","type":"article","venue":"Research Exchange (Washington State University)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turtle (robot); Mercury (programming language); Trace metal; Pesticide; Cadmium; Pollutant; Ecotoxicology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007520914,0.0001965605,0.0002365089,0.0008689946,0.0001231041,0.00009041343,0.0002408215,0.00008192442,0.000230997],"category_scores_gemma":[0.00003975105,0.0001971067,0.00003024607,0.0007696205,0.00008702861,0.0005090436,0.0001820135,0.0003640983,0.00006096958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003848211,"about_ca_system_score_gemma":0.00003010263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348295,"about_ca_topic_score_gemma":0.005434858,"domain_scores_codex":[0.9983537,0.0001051076,0.0001779812,0.0003032122,0.0003933316,0.0006666636],"domain_scores_gemma":[0.9992078,0.0002689773,0.00002573077,0.0002091917,0.00008118533,0.0002070936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003811711,0.001023383,0.496586,0.001998914,0.002389695,0.01353682,0.08471537,0.001709156,0.1551623,0.001318489,0.005498566,0.2322496],"study_design_scores_gemma":[0.01155244,0.001493525,0.2478304,0.0008548012,0.0002223357,0.0000188637,0.01218679,0.003618665,0.1966878,0.001562254,0.5216413,0.002330877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993576,0.001681138,0.000267999,0.00008827621,0.00007816462,0.0003025745,0.0000570093,0.000126662,0.003822143],"genre_scores_gemma":[0.9902042,0.001934192,0.0003392797,0.000006673293,0.00004959443,0.000001493847,0.0000423389,0.00004034699,0.007381946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5161427,"threshold_uncertainty_score":0.8037777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04910617905809647,"score_gpt":0.2861560517703712,"score_spread":0.2370498727122747,"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."}}