{"id":"W6964725168","doi":"10.3389/fmars.2019.00755.s002","title":"Table_2_Impacts of Acidic Seawater on Early Developmental Stages of Fucus gardneri at Burrard Inlet, British Columbia.DOCX","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhizoid; Seawater; Ocean acidification; Intertidal zone; Fucus; Algae; Rocky shore","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":[],"consensus_categories":[],"category_scores_codex":[0.0001520101,0.0004560786,0.0003901443,0.001662539,0.001768303,0.000700103,0.0008534961,0.0002588409,0.1409729],"category_scores_gemma":[0.0005866963,0.0002517497,0.0003041583,0.001907154,0.0002223381,0.0002881163,0.000502245,0.0004371316,0.01041293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003917489,"about_ca_system_score_gemma":0.003618124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.77666,"about_ca_topic_score_gemma":0.9435748,"domain_scores_codex":[0.9999022,0.000003174359,0.00000556234,0.00001633969,0.00004646886,0.00002612717],"domain_scores_gemma":[0.9992842,0.00007925316,0.00006713221,0.00001766777,0.000435515,0.0001161678],"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":[0.000406189,0.00009336699,0.2170468,0.002701695,0.0001234184,0.0006347036,0.00105174,0.0024188,0.01427206,0.0003427661,0.7040651,0.05684328],"study_design_scores_gemma":[0.00004327253,0.0000432291,0.8681891,0.0002632846,0.00004115727,0.0001430899,0.002350857,0.000694623,0.001933397,0.0001602748,0.1260897,0.00004810735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04011091,0.0001876687,0.0002639328,0.0003117265,0.00007275993,0.0001318863,0.9389338,0.0005690325,0.01941825],"genre_scores_gemma":[0.2253733,0.0009159436,0.004502567,0.0005896679,0.00003043064,0.0004957689,0.6721506,0.0006292367,0.09531249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.22334,"threshold_uncertainty_score":0.4716014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081571715854347,"score_gpt":0.2253460753052367,"score_spread":0.2045303581466933,"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."}}