{"id":"W6939479332","doi":"10.6073/pasta/8563e8cc8b4434e48fa00e89395b2232","title":"North Temperate Lakes LTER: Crayfish Abundance 1981 - current","year":2022,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crayfish; Minnow; Abundance (ecology); Predation; Trout; Temperate climate; Rainbow trout","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005674516,0.0014507,0.001109887,0.0003860237,0.0008949264,0.0002570693,0.005327416,0.0002287721,0.132393],"category_scores_gemma":[0.0001543813,0.001599777,0.0001984579,0.000442683,0.000985813,0.001960571,0.009070864,0.002849344,0.02477853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578854,"about_ca_system_score_gemma":0.0002232346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001937612,"about_ca_topic_score_gemma":0.001880028,"domain_scores_codex":[0.9919111,0.001004226,0.001112105,0.00285121,0.00199818,0.001123213],"domain_scores_gemma":[0.9926133,0.0002671089,0.001229255,0.00549156,0.00001061966,0.0003881698],"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":[0.0001186116,0.001311542,0.00112754,0.0001027681,0.0003989183,0.0002423299,0.00019984,0.00002396245,0.00002705194,0.00000122752,0.9959217,0.0005244925],"study_design_scores_gemma":[0.001011905,0.0002412299,0.006991528,0.00009385866,0.0004232419,0.0000370104,0.0003154861,0.00002355945,0.00002625562,0.00001247635,0.9891811,0.001642323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001465762,0.002183533,0.000003958793,0.0000358383,0.001669097,0.00132942,0.9930357,0.0001420506,0.0001346569],"genre_scores_gemma":[0.0004456993,0.004779643,0.00004944652,0.000633874,0.0006125635,0.0005537946,0.9925097,0.0003008638,0.0001144563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1076145,"threshold_uncertainty_score":0.9998243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05995881033557916,"score_gpt":0.2909085992158314,"score_spread":0.2309497888802522,"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."}}