{"id":"W6948480292","doi":"10.5061/dryad.69p8cz906","title":"Global port environmental data used for environmental distance calculations","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada; University of Windsor; Fisheries and Oceans Canada","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Dysgeusia; Liquation; Hyporeflexia; Proteogenomics; Fusible alloy","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":[0.0006447051,0.001606255,0.0009765113,0.002853305,0.0006267903,0.001687794,0.001645665,0.001217064,0.03371845],"category_scores_gemma":[0.004622883,0.0003948492,0.0008443427,0.007569396,0.0003338369,0.001413008,0.001560524,0.001649248,0.06000735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038906,"about_ca_system_score_gemma":0.001727868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0317869,"about_ca_topic_score_gemma":0.05025813,"domain_scores_codex":[0.9991524,0.0001116495,0.00009889253,0.0002915675,0.0002301624,0.0001153464],"domain_scores_gemma":[0.9984887,0.0002664018,0.0001730949,0.000321447,0.0006334156,0.0001169723],"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":[0.00003593639,0.00002690672,0.003311807,0.0004131355,0.00003161042,0.0000364309,0.00003692645,0.0007549382,0.0001002991,0.001231993,0.9902042,0.003815757],"study_design_scores_gemma":[0.00006415194,0.000009493895,0.007685455,0.0002311608,0.00001999877,0.00005392814,0.0001512435,0.0006818371,0.000234725,0.001524686,0.9893189,0.00002451137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002903462,0.00005607012,0.00008850906,0.00004095985,0.00002393393,0.00000521905,0.9984882,0.0001419749,0.0008646944],"genre_scores_gemma":[0.0006808056,0.00004216309,0.0002436521,0.00002784013,0.000004783373,0.00003107394,0.9984675,0.0000406748,0.0004614443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03371845,"threshold_uncertainty_score":0.1127994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05047123871151579,"score_gpt":0.3078521850936866,"score_spread":0.2573809463821708,"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."}}