{"id":"W401029561","doi":"","title":"Caltha Natans Pallas (Ranunculaceae) New for Michigan and Thunder Bay District, Ontario","year":2009,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ranunculaceae; Bay; Thunder; Geography; Biology; Ecology; Archaeology","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":[0.0001988672,0.0003648051,0.000323707,0.001851062,0.005267319,0.00110997,0.0007057565,0.0001884374,0.01217476],"category_scores_gemma":[0.0003015556,0.0002560758,0.0002539912,0.001738935,0.0004718861,0.0005027812,0.000586345,0.0006101034,0.001598908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007930337,"about_ca_system_score_gemma":0.004239928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7177722,"about_ca_topic_score_gemma":0.9782843,"domain_scores_codex":[0.9997708,0.00001238277,0.00001098181,0.00007637013,0.00007867004,0.00005078549],"domain_scores_gemma":[0.9996356,0.0000219569,0.00006126449,0.00002097665,0.0001876377,0.00007254194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007727479,0.0001787748,0.334219,0.0006442168,0.0001857011,0.003216475,0.01470992,0.0006188827,0.08199713,0.006937588,0.04518943,0.5113301],"study_design_scores_gemma":[0.00001554397,0.00008531322,0.5884607,0.00008895282,0.00006246687,0.0006708088,0.00426237,0.0002048192,0.002858048,0.0002642257,0.4030037,0.00002310831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6588302,0.008600906,0.003847902,0.0027093,0.0002628679,0.0004562819,0.0114024,0.0006773664,0.3132127],"genre_scores_gemma":[0.6689116,0.003982991,0.01101116,0.0009050277,0.0000680649,0.0001497453,0.007282626,0.0001449386,0.3075438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2822278,"threshold_uncertainty_score":0.5677798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420447657491157,"score_gpt":0.2685128184471416,"score_spread":0.2543083418722301,"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."}}