{"id":"W6889077078","doi":"10.25384/sage.c.4725359","title":"Complex responses of phototrophic communities to climate warming during the Holocene of northeastern Ontario, Canada","year":2019,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holocene; Diatom; Subfossil; Pollen; Period (music); Plankton; Climate change; Boreal","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":[0.000176619,0.0001677692,0.0002075565,0.0008568456,0.002627167,0.001017233,0.0004675121,0.0002462239,0.0014624],"category_scores_gemma":[0.0006543566,0.0002239179,0.0001911541,0.001424211,0.0006119621,0.0002971718,0.0004930097,0.0002258718,0.0001136745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01938022,"about_ca_system_score_gemma":0.00985193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899006,"about_ca_topic_score_gemma":0.998076,"domain_scores_codex":[0.9997627,0.00001392516,0.000009551612,0.00005623884,0.00006166258,0.00009591891],"domain_scores_gemma":[0.9992701,0.00003401194,0.0001476928,0.00001778294,0.000335496,0.0001949281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000101628,0.00001289277,0.9853845,0.00003544198,0.00004363652,0.0001477983,0.004909755,0.0001134217,0.003461425,0.00008592536,0.0007877588,0.004915763],"study_design_scores_gemma":[6.499108e-7,0.00000183055,0.9986789,0.000003168233,0.000002741035,0.000008646845,0.0007977723,0.00002622956,0.00002445725,0.000004150622,0.0004498876,0.000001524499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9975078,0.0002949661,0.00003435443,0.0001238892,0.000003987573,0.000007409663,0.0006278163,0.000004269054,0.001395282],"genre_scores_gemma":[0.9982257,0.0002266989,0.00006706142,0.00004538083,0.000002914074,0.00000603714,0.0003723876,0.00000312934,0.001050747],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01938022,"threshold_uncertainty_score":0.1406139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08267898295261411,"score_gpt":0.3038398606315739,"score_spread":0.2211608776789598,"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."}}