{"id":"W6927055684","doi":"10.26071/ogsl-1954d7f6-0fc1-42fa","title":"Infaunal invertebrates and contaminants in Saint John Harbour, New Brunswick, Canada","year":2023,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sediment; Invertebrate; Baseline (sea); Harbour; Cliff; Benthos; SAINT","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":[0.0004100568,0.0004733611,0.0003284737,0.002489699,0.004834519,0.001434065,0.00173915,0.0004367707,0.007985357],"category_scores_gemma":[0.0008505235,0.0005979845,0.000365487,0.004400409,0.0007859243,0.0004327548,0.001266987,0.0007415641,0.0009832971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04504858,"about_ca_system_score_gemma":0.0697377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997734,"about_ca_topic_score_gemma":0.9995634,"domain_scores_codex":[0.9992499,0.00003731517,0.00003107664,0.00009412559,0.0003465854,0.0002409121],"domain_scores_gemma":[0.9980218,0.00006502977,0.0001839965,0.00003430523,0.001309013,0.0003856813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000215755,0.0001674251,0.8005344,0.000640366,0.0001470013,0.002078111,0.00575619,0.0006618797,0.003851346,0.001897872,0.05802456,0.1260251],"study_design_scores_gemma":[0.00000891589,0.00002814096,0.9485041,0.000201169,0.00001994165,0.0002428503,0.005545453,0.0003727947,0.0003997031,0.00009734661,0.04454742,0.00003220936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8480908,0.01909675,0.001946992,0.008227066,0.0004050243,0.0007443107,0.03719798,0.0002239336,0.08406722],"genre_scores_gemma":[0.8346316,0.01311504,0.006425211,0.00215012,0.00006773241,0.0002823806,0.01521802,0.0001234282,0.1279865],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04504858,"threshold_uncertainty_score":0.3268518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009603139038931143,"score_gpt":0.2243673472207852,"score_spread":0.2147642081818541,"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."}}