{"id":"W6983678224","doi":"","title":"Neotropic Cormorant: New to Ontario and Canada","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Work (physics); Data collection","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":[0.0003556972,0.0004327462,0.0004918341,0.001941828,0.005159346,0.001587982,0.0007997272,0.0003601954,0.01015146],"category_scores_gemma":[0.00081479,0.0003150327,0.0003194599,0.00448789,0.0008057849,0.0006685797,0.00108442,0.0007168893,0.001264008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02947082,"about_ca_system_score_gemma":0.04167084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966804,"about_ca_topic_score_gemma":0.9997551,"domain_scores_codex":[0.9995736,0.00002244638,0.00001564603,0.00006034247,0.0001441269,0.0001837976],"domain_scores_gemma":[0.9984553,0.00005603048,0.0001355977,0.00004606428,0.000876761,0.0004303274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001142744,0.0001497574,0.5632832,0.001173557,0.0001999453,0.003061142,0.03081941,0.0007014308,0.006391834,0.008038428,0.1437562,0.2412826],"study_design_scores_gemma":[0.00002657237,0.00003838314,0.8011722,0.0001820525,0.0000386975,0.0002854337,0.01155711,0.0002230048,0.0003048858,0.0001860645,0.1859552,0.00003026114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7449601,0.01490406,0.001636564,0.004772202,0.0003606865,0.0005890817,0.04199863,0.0004496,0.1903291],"genre_scores_gemma":[0.7604934,0.006546059,0.003588738,0.001109919,0.00005013933,0.0001554872,0.007940279,0.0001806179,0.2199353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02947082,"threshold_uncertainty_score":0.2138267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033479273750856,"score_gpt":0.1469119003339222,"score_spread":0.1265771075964137,"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."}}