{"id":"W1519565341","doi":"","title":"Photograph of Cormorant Nests in Trees on Leslie Street Spit, Toronto","year":2005,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cormorant; Geography; Fishery; Biology; Ecology; Predation","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003643772,0.0002073073,0.0002244346,0.0002467373,0.000130428,0.00002936776,0.0007031104,0.0001243832,0.001774426],"category_scores_gemma":[0.000004556259,0.0002450041,0.0001386975,0.0008276319,0.0003581888,0.002544026,0.0004966184,0.0001335701,0.000184549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003067601,"about_ca_system_score_gemma":0.00002957837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005852046,"about_ca_topic_score_gemma":0.008804058,"domain_scores_codex":[0.998871,0.00005997983,0.0001364526,0.0004005455,0.0001941774,0.0003378508],"domain_scores_gemma":[0.9993525,0.00007328585,0.0001104751,0.0003073484,0.000003326672,0.0001530236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002208635,0.002072484,0.8818105,0.00003282353,0.0001290548,0.0009410338,0.0006712584,0.006975941,0.0001383131,0.03645249,0.05237475,0.01619275],"study_design_scores_gemma":[0.001636949,0.0004170728,0.3938075,0.00004909203,0.00003164246,0.000002545948,0.003917896,0.0001074227,0.0001886044,0.0001076547,0.5993179,0.0004157155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.686031,0.00001782321,0.00001629577,0.00008929094,0.00004500136,0.0001868634,0.00008836137,0.00008856316,0.3134367],"genre_scores_gemma":[0.9807721,0.00007585097,0.0002540208,0.0001459149,0.00001497002,9.653593e-8,0.00005874263,0.00001220893,0.01866613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5469432,"threshold_uncertainty_score":0.9991381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005865548038219341,"score_gpt":0.1495341575517582,"score_spread":0.1436686095135388,"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."}}