{"id":"W6929738537","doi":"10.5061/dryad.ghx3ffbmj","title":"Counts of shorebirds and environmental correlates at Roberts Bank, British Columbia (1991 to 2019)","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Nucleofection; Gestational period; Diafiltration; TSG101; Dysgeusia; Proteogenomics; Hyporeflexia; Fusible alloy; Liquation","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":[0.0004195077,0.000900351,0.000670264,0.002777644,0.001727108,0.001426863,0.001624849,0.0006574306,0.02215074],"category_scores_gemma":[0.002442271,0.0006157791,0.0003186299,0.00760294,0.0002595883,0.0004702935,0.0008812094,0.001077632,0.01101557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006763454,"about_ca_system_score_gemma":0.01080679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9639554,"about_ca_topic_score_gemma":0.9848402,"domain_scores_codex":[0.9995546,0.00002262316,0.00004165273,0.00009634841,0.0001589064,0.0001257922],"domain_scores_gemma":[0.997005,0.0001091455,0.0002723634,0.0001693493,0.002105428,0.0003386354],"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":[0.00006960255,0.00004134892,0.0513884,0.0003276494,0.00006281354,0.00007130016,0.0002002821,0.0003369816,0.0001039469,0.0003045393,0.9406339,0.006459218],"study_design_scores_gemma":[0.00009695643,0.00001728893,0.6067067,0.0004443805,0.00006496249,0.00008455319,0.001010276,0.0005586246,0.0003640716,0.0002281191,0.3903613,0.00006267433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004623826,0.00008610306,0.00004832243,0.00007054688,0.000015476,0.00002630203,0.9933388,0.00004863315,0.001742028],"genre_scores_gemma":[0.01252625,0.0001762306,0.0003400215,0.00008459362,0.000009085733,0.0002088362,0.9789749,0.00003163334,0.007648405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0360446,"threshold_uncertainty_score":0.07410157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191618837800025,"score_gpt":0.246064759446554,"score_spread":0.2341485710685537,"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."}}