{"id":"W6930357647","doi":"10.5281/zenodo.11920247","title":"hudson line pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Estuary; Port (circuit theory); Line (geometry); Sea level; Climate change; Haven; Railway line; Global warming","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005569235,0.001466851,0.001256875,0.002209171,0.001734271,0.007385864,0.002363958,0.001985191,0.9569721],"category_scores_gemma":[0.00389614,0.0008875119,0.0009573291,0.00200587,0.0006066533,0.006077738,0.002892404,0.002507033,0.9359317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334709,"about_ca_system_score_gemma":0.001249149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003480698,"about_ca_topic_score_gemma":0.005838953,"domain_scores_codex":[0.9994003,0.00003301189,0.0000282195,0.0001043086,0.000354186,0.00007994239],"domain_scores_gemma":[0.9971565,0.000282344,0.00007534543,0.0003547144,0.001590543,0.0005405686],"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":[0.0000263828,0.00002254218,0.00002618428,0.0000970599,0.00000128878,0.00002914711,0.0000214296,0.00002507994,0.0002913357,0.0007095351,0.9733114,0.02543856],"study_design_scores_gemma":[0.00001121941,0.00001429178,0.000139518,0.00004212937,0.000001769963,0.00005094747,0.00004140002,0.00003411356,0.0002830317,0.0003896148,0.9989846,0.000007240699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002934745,0.0004139507,0.001466636,0.0007745877,0.00255768,0.0002215074,0.006575286,0.008299473,0.9793972],"genre_scores_gemma":[0.0007438367,0.0002608382,0.0004634219,0.0003495745,0.0002578417,0.00005251907,0.00223668,0.002506844,0.9931284],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04302788,"threshold_uncertainty_score":0.06137395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288689895495885,"score_gpt":0.261570638073385,"score_spread":0.2286837391184262,"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."}}