{"id":"W3028276636","doi":"","title":"Pangaea dispersal and Large Igneous Provinces: Cause or effect?","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting 2019","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Biological dispersal; Pangaea; Geography; Biology; Paleontology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001461146,0.0002835136,0.0005441171,0.00108368,0.0007900297,0.00175546,0.00084408,0.00183209,0.01229099],"category_scores_gemma":[0.004708732,0.0003565358,0.0009969871,0.001544903,0.002165045,0.001232284,0.001544757,0.00105131,0.0003830021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250038,"about_ca_system_score_gemma":0.002353906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08283076,"about_ca_topic_score_gemma":0.1589027,"domain_scores_codex":[0.9993924,0.0001308381,0.00003915386,0.0001555356,0.00005465918,0.0002272961],"domain_scores_gemma":[0.9977751,0.000454388,0.0007981221,0.0002104243,0.0002140221,0.0005479536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003530119,0.00008128935,0.9848198,0.00009994319,0.0004988055,0.0003529456,0.0005358038,0.0002059399,0.0006753427,0.001509898,0.001083352,0.009783903],"study_design_scores_gemma":[0.00002932916,0.00004769663,0.9965075,0.00003539513,0.0001349648,0.0001154546,0.0009290365,0.0001266873,0.00005559314,0.0006598035,0.001350432,0.000008122167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793696,0.007101,0.0001310325,0.008059748,0.0001473935,0.00001530863,0.0005330307,0.00002818529,0.004614735],"genre_scores_gemma":[0.9971927,0.001458798,0.00007021427,0.0003023545,0.0001120639,0.000004194811,0.0001408046,0.000006945872,0.0007118914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08283076,"threshold_uncertainty_score":0.1646972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546559693334546,"score_gpt":0.1987994333859982,"score_spread":0.1922528736926637,"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."}}