{"id":"W2100511339","doi":"10.22621/cfn.v118i3.1172","title":"Covers - Editorial Board and Publication Information","year":2004,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Editorial board; Library science; Data science; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398064,0.00007129413,0.00005528463,0.00005706632,0.0002956201,0.0002075241,0.0001505796,0.00008011609,0.0001047793],"category_scores_gemma":[0.0004376602,0.00005412644,0.00001995836,0.0000817758,0.00005135996,0.0004456902,0.00002084977,0.0002138687,0.0002024584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435536,"about_ca_system_score_gemma":0.000138525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2964828,"about_ca_topic_score_gemma":0.07868608,"domain_scores_codex":[0.9995163,0.00002119065,0.0001037768,0.00008620034,0.0001180768,0.0001544652],"domain_scores_gemma":[0.9995171,0.00007327973,0.00005407644,0.0001472198,0.00009064273,0.000117622],"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":[0.0002046284,0.000008641831,0.0008761614,0.00002601738,0.00004427166,0.00001889417,0.003639618,0.00002435655,0.0003510227,0.07559302,0.9111003,0.008113108],"study_design_scores_gemma":[0.0006261985,0.0002021972,0.009557467,0.00003158966,0.00001629015,0.0000566848,0.0003545971,0.00009866469,0.0001659519,0.003910066,0.98475,0.0002303331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7486472,0.00009620933,0.00006805293,0.09268384,0.01872751,0.0005054211,0.0001364143,0.000211424,0.138924],"genre_scores_gemma":[0.9932178,0.000004252966,0.00008586541,0.003002949,0.003239952,0.000005913289,0.00004053099,0.000004329351,0.0003984558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2445706,"threshold_uncertainty_score":0.9381255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338763373821908,"score_gpt":0.3040908076148328,"score_spread":0.2607031738766137,"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."}}