{"id":"W7054694833","doi":"","title":"ANNUAL GENERAL MEETING OF THE CANADIAN VETERINARY MEDICAL ASSOCIATION","year":2002,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); MEDLINE; Public health; Quality (philosophy); Government (linguistics)","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":[0.00155654,0.001191307,0.0007815071,0.001993234,0.002548567,0.001796796,0.001257065,0.003460227,0.1178761],"category_scores_gemma":[0.002301492,0.0004590186,0.0005954136,0.001213269,0.0007853531,0.0007255943,0.001212564,0.002335024,0.02827292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004820828,"about_ca_system_score_gemma":0.01420483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2348987,"about_ca_topic_score_gemma":0.5803156,"domain_scores_codex":[0.9990414,0.00007735822,0.00004043264,0.0001013357,0.0005246166,0.0002149297],"domain_scores_gemma":[0.9965999,0.0001098287,0.0001110215,0.00005749478,0.002235956,0.0008859044],"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":[0.00007819527,0.00002583081,0.001045273,0.0001195391,0.000008353438,0.0001063396,0.0000281453,0.00005922901,0.0003117397,0.0002391286,0.9557616,0.0422166],"study_design_scores_gemma":[0.00001164973,0.00001821715,0.004853878,0.0001220176,0.000006888591,0.0001412562,0.00008322483,0.00008210084,0.00005421031,0.000102457,0.9945143,0.000009687419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01364175,0.1061172,0.003188796,0.1697497,0.2391891,0.001043113,0.00834738,0.0008213524,0.4579015],"genre_scores_gemma":[0.01745909,0.04143104,0.001861606,0.01000566,0.01858232,0.0002731174,0.003118101,0.0001564645,0.9071126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7651013,"threshold_uncertainty_score":0.467063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644997877592723,"score_gpt":0.1929215160045399,"score_spread":0.1764715372286127,"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."}}