{"id":"W6948493322","doi":"10.5061/dryad.q83bk3jpc","title":"Lake effect on summer cooling of shorelines and adjacent inland forests on Lake Superior’s north shore","year":2023,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Shore; Transect; Habitat; Climate change; Bay; Hydrology (agriculture); Disjunct","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002318595,0.0004182789,0.0009727408,0.00009128544,0.00008659486,0.00001117998,0.0001621806,0.0004130667,0.0001806696],"category_scores_gemma":[0.0004857165,0.0002313541,0.0001463001,0.0001513739,0.0001806707,0.00001041745,0.000195499,0.0006873716,0.0002767973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608207,"about_ca_system_score_gemma":0.00001689871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008971171,"about_ca_topic_score_gemma":0.007571475,"domain_scores_codex":[0.9983354,0.00009089974,0.0003635074,0.000502735,0.0003309049,0.0003766176],"domain_scores_gemma":[0.9983952,0.000999068,0.0001099497,0.0002348095,0.00005814417,0.0002028274],"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":[0.002173604,0.0001988722,0.08139554,0.0006556927,0.0001726032,0.0003003922,0.000009576711,0.000007255303,0.0000132681,8.875003e-7,0.9118489,0.003223378],"study_design_scores_gemma":[0.001141578,0.003464145,0.2545753,0.0004499553,0.0002292667,0.000005223206,0.000005329998,0.000006819946,0.0000370104,0.000003569764,0.7398666,0.0002151971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3324031,0.000462922,1.056894e-7,0.0002387699,0.0003824492,0.000499791,0.6659445,0.00003525869,0.00003317374],"genre_scores_gemma":[0.04098496,0.004439439,0.000004582197,0.001136401,0.0006553666,0.00006353766,0.9525927,0.00002058197,0.0001023824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2914181,"threshold_uncertainty_score":0.9434347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05054659921754254,"score_gpt":0.3286281465389181,"score_spread":0.2780815473213756,"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."}}