{"id":"W6892146467","doi":"10.5066/f7nz86jv","title":"Continuous Detection PIT Array Data &amp; Model","year":2018,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rainbow trout; Data set; Population; Netting; Abundance (ecology); Fish <Actinopterygii>","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002042568,0.001206246,0.0009065146,0.0004957301,0.000536726,0.000201524,0.001921432,0.0007870776,0.003267192],"category_scores_gemma":[0.0005739724,0.001270335,0.0001908161,0.0002853183,0.0006756271,0.001044266,0.001118086,0.001298585,0.06768861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528776,"about_ca_system_score_gemma":0.0001168307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002730049,"about_ca_topic_score_gemma":0.0003135177,"domain_scores_codex":[0.9916826,0.0003664047,0.001203897,0.003930366,0.001826304,0.0009903613],"domain_scores_gemma":[0.9877636,0.00003091768,0.001243234,0.01064953,0.00007027802,0.0002424717],"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":[0.0001891042,0.0006919676,0.000003174129,0.0001067776,0.0002463772,0.000003530486,0.00004823756,0.006238557,0.01932356,3.773761e-7,0.9718519,0.001296461],"study_design_scores_gemma":[0.0004734181,0.0001359401,0.00003529239,0.00006141979,0.0007200979,0.0001046418,0.00001673253,0.0004747523,0.00379879,0.00009009528,0.9927291,0.001359759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008593774,0.0002284544,0.005819506,0.0002253143,0.003094711,0.002162979,0.9872242,0.0003340722,0.00005136386],"genre_scores_gemma":[0.0002782199,0.0008683659,0.003313154,0.0001081701,0.005029025,0.0003452358,0.9830525,0.0003173657,0.006687955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06442142,"threshold_uncertainty_score":0.9989746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470072468529476,"score_gpt":0.261258874621436,"score_spread":0.2165581499361413,"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."}}