{"id":"W2797797469","doi":"10.1073/pnas.1719230115","title":"Embryophyte stress signaling evolved in the algal progenitors of land plants","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Dalhousie University","funders":"Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canadian Institute for Advanced Research","keywords":"Biology; Plastid; Lineage (genetic); Ancestor; Algae; Most recent common ancestor; Flora (microbiology); Plant evolution; Botany; Ecology; Evolutionary biology; Phylogenetic tree; Paleontology; Chloroplast; Geography; Gene; Genome","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000911051,0.00005698898,0.0001068498,0.00002350962,0.0001411701,0.00001402534,0.0007825491,0.00007003728,0.00003209105],"category_scores_gemma":[0.0001120978,0.00001659921,0.00004491073,0.0004653156,0.0007442129,0.0001214431,0.0001057602,0.00008673427,6.936792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006936094,"about_ca_system_score_gemma":0.00000925005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005522919,"about_ca_topic_score_gemma":0.0000103929,"domain_scores_codex":[0.9990724,0.0000108326,0.0002241577,0.0001371563,0.0004277625,0.0001277151],"domain_scores_gemma":[0.9994533,0.000124404,0.0002669534,0.000002691417,0.0001395423,0.00001313134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001970046,0.00005381955,0.04456403,0.00001202044,0.000004652503,4.445323e-9,0.0001986842,0.00000447092,0.9522936,0.001490223,0.0003814672,0.0009773149],"study_design_scores_gemma":[0.00008208847,0.0001465178,0.4570279,0.00005638659,0.000003860629,0.000003444278,0.0005351935,0.00006749889,0.5370667,0.004727272,0.0002336758,0.00004944855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966818,0.0000466769,7.868425e-9,0.001289963,0.00001792443,0.0001374663,0.0000220261,0.000002818275,0.001801319],"genre_scores_gemma":[0.99957,0.000008080869,0.00005958961,0.0001654215,0.0001711745,0.000003592344,2.42861e-7,2.465125e-7,0.00002163035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4152269,"threshold_uncertainty_score":0.2742083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367113341571451,"score_gpt":0.2648709026272034,"score_spread":0.2281595684700583,"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."}}