{"id":"W4232099722","doi":"10.3410/f.11070956.12023054","title":"Faculty Opinions recommendation of Sympatric diversification as influenced by ecological opportunity and historical contingency in a young species lineage of whitefish.","year":2011,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Sympatric speciation; Diversification (marketing strategy); Contingency; Lineage (genetic); Ecology; Geography; Biology; Evolutionary biology; Marketing; Business; Epistemology; Gene; Genetics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001251672,0.001115414,0.001049,0.00296848,0.0005821094,0.001811555,0.001870877,0.00150241,0.03830035],"category_scores_gemma":[0.008645461,0.0005329133,0.001113862,0.003855215,0.0002472642,0.001031501,0.001608294,0.001207841,0.02394192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009915975,"about_ca_system_score_gemma":0.002278419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03096742,"about_ca_topic_score_gemma":0.08639815,"domain_scores_codex":[0.9992743,0.0001147278,0.0000960386,0.0002586349,0.000149925,0.0001063419],"domain_scores_gemma":[0.9968971,0.0009465404,0.0005534459,0.0005816659,0.0006518034,0.0003693628],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001723727,0.00002657307,0.01189192,0.001568417,0.0001689288,0.000036916,0.00005246541,0.0004098845,0.0002502462,0.0003480944,0.9795122,0.005562006],"study_design_scores_gemma":[0.0005148121,0.00002938994,0.07223631,0.0007667716,0.0002462674,0.0001413622,0.0001909142,0.0010273,0.0006214909,0.0011055,0.9230585,0.00006136685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000467062,0.0000655189,0.00005438996,0.000078518,0.0000189188,0.000007616582,0.9987993,0.0001000551,0.0004085443],"genre_scores_gemma":[0.0016386,0.00006732308,0.0002920223,0.00005516198,0.000007963285,0.00006196636,0.9969417,0.0000343577,0.0009009026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9987483,"threshold_uncertainty_score":0.1281275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04520870250378195,"score_gpt":0.2945595541186928,"score_spread":0.2493508516149108,"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."}}