{"id":"W6910717686","doi":"10.48689/8fdb3a11-64e4-4110-83c6-a0d111de7980","title":"Ancient Murrelet Colonies","year":2010,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seabird; Zoogeography; Feature (linguistics); Citizen science; Biodiversity","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":[0.0003310551,0.001421465,0.0009226733,0.002482579,0.0008649877,0.001548896,0.001714873,0.0008741856,0.02376405],"category_scores_gemma":[0.001419098,0.0004704152,0.0006406222,0.003499369,0.0003503028,0.0006996542,0.001257166,0.00141753,0.03347189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251277,"about_ca_system_score_gemma":0.0018615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1354681,"about_ca_topic_score_gemma":0.3559318,"domain_scores_codex":[0.9995381,0.00003353944,0.00002837636,0.0001396604,0.0001560048,0.0001044697],"domain_scores_gemma":[0.9992551,0.00007600466,0.00008658988,0.0001825362,0.0002637836,0.0001360438],"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":[0.00006676176,0.00001769366,0.002416336,0.0002384414,0.00002243426,0.0000405892,0.00006331319,0.0001454193,0.0002023214,0.0003949764,0.9914014,0.004990354],"study_design_scores_gemma":[0.00004939761,0.000006792628,0.02244557,0.0001499233,0.0000153485,0.00007977873,0.0001745515,0.0002231492,0.0003384966,0.000262752,0.9762381,0.00001617431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001452193,0.000149199,0.0000943495,0.00004236631,0.00004553094,0.00001876841,0.9947871,0.0003512493,0.003059126],"genre_scores_gemma":[0.001627422,0.00007216089,0.0003334974,0.00002178944,0.00000698629,0.00003524664,0.9955374,0.00006070283,0.002304839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1354681,"threshold_uncertainty_score":0.2693591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541374743553814,"score_gpt":0.3498703549598066,"score_spread":0.3044566075242685,"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."}}