{"id":"W7029052968","doi":"","title":"Grand River Luther Marsh Headwaters, Dufferin County Ontario","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marsh; Threatened species; Wetland; Wildlife refuge; Tributary; Vegetation (pathology); Shore; Spring (device)","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":[0.00007658179,0.0002343064,0.000110368,0.0007122458,0.003636897,0.0009348677,0.0004482024,0.0002465406,0.09284368],"category_scores_gemma":[0.0003442731,0.0002433704,0.00008789471,0.001465608,0.0003716516,0.0003304601,0.0005933628,0.000197761,0.009397906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008476659,"about_ca_system_score_gemma":0.01350382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9736282,"about_ca_topic_score_gemma":0.9975976,"domain_scores_codex":[0.9998511,0.000006063329,0.000004106658,0.0000263792,0.00005824186,0.00005410731],"domain_scores_gemma":[0.9997033,0.00001341959,0.00002263691,0.00001090645,0.0001310408,0.0001185221],"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":[0.0001455101,0.00007472562,0.07799394,0.0005032614,0.00001329711,0.001315784,0.0087147,0.0002476207,0.002991399,0.003772017,0.7428269,0.1614008],"study_design_scores_gemma":[0.00001233922,0.00001715631,0.2059734,0.00011336,0.00000632638,0.0001780873,0.00384335,0.00008400998,0.0002502925,0.00008660692,0.7894207,0.00001425298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1875854,0.003453208,0.000483225,0.002181357,0.0001880106,0.0003116177,0.04823728,0.0003786792,0.7571812],"genre_scores_gemma":[0.1530356,0.002313047,0.0009569979,0.000266316,0.00002208453,0.00008731445,0.008595634,0.0001160235,0.8346071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09284368,"threshold_uncertainty_score":0.3105931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006985192409832063,"score_gpt":0.1784255142393166,"score_spread":0.1714403218294845,"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."}}