{"id":"W6911106078","doi":"10.5061/dryad.1998","title":"Data from: Genetic divergence in morphology-performance mapping between Misty Lake and inlet stickleback","year":2010,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stickleback; Gasterosteus; Inlet; Divergence (linguistics); Genetic divergence; Morphology (biology)","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":[0.001031319,0.001469744,0.00114714,0.002537482,0.0009880338,0.001371126,0.001911882,0.001269626,0.01346812],"category_scores_gemma":[0.004278154,0.00062406,0.000795816,0.005550641,0.0003964684,0.0004966581,0.001268868,0.001111192,0.009290207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069365,"about_ca_system_score_gemma":0.003158644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1866311,"about_ca_topic_score_gemma":0.3339272,"domain_scores_codex":[0.9992142,0.00009292883,0.0001046391,0.0002470947,0.0001965869,0.0001446788],"domain_scores_gemma":[0.9981526,0.0004280449,0.0003207681,0.0003681034,0.0005263775,0.0002040698],"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":[0.0005017759,0.0001316761,0.03775079,0.002288129,0.0004266218,0.0001775303,0.0003150773,0.001717812,0.001018166,0.0006348721,0.943801,0.01123665],"study_design_scores_gemma":[0.001314218,0.00006421284,0.3173849,0.0004444735,0.0002528649,0.0001965777,0.0004723292,0.001640496,0.001420024,0.0007632026,0.6759526,0.00009417923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003769746,0.00006624926,0.00007118572,0.00003967149,0.000009834826,0.00001915255,0.9954484,0.0001047673,0.0004708943],"genre_scores_gemma":[0.002819383,0.0000279556,0.0002720843,0.00001428913,0.000002319999,0.00009228179,0.9962895,0.00002061665,0.0004616347],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1866311,"threshold_uncertainty_score":0.3710895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06024306348177955,"score_gpt":0.2837143416519295,"score_spread":0.2234712781701499,"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."}}