{"id":"W7070582646","doi":"","title":"PETLYNX AND THE CANADIAN FEDERATION OF HUMANE SOCIETIES CREATE A NATIONAL LOST & FOUND FOR PETS","year":2002,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Criticism; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0004071942,0.0001007279,0.0001317782,0.00004132855,0.0004642431,0.0002665285,0.0001138468,0.00003139063,0.0007498598],"category_scores_gemma":[0.0003673074,0.00007412146,0.00005560017,0.00007163706,0.000202345,0.0001593254,0.00002079121,0.00007054081,0.00005797565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054813,"about_ca_system_score_gemma":0.0000724657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005539001,"about_ca_topic_score_gemma":0.08725143,"domain_scores_codex":[0.9989393,0.00007778931,0.0002214484,0.0001807417,0.0002065684,0.0003741797],"domain_scores_gemma":[0.9992743,0.0001568149,0.00009468687,0.0001149725,0.0002274828,0.000131752],"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":[0.0006024387,0.0005385281,0.004772753,0.0003375348,0.0002723239,0.00001697842,0.07508253,0.00136999,0.09452908,0.1654859,0.6536462,0.003345761],"study_design_scores_gemma":[0.005030259,0.0001176309,0.0678151,0.00008377252,0.0001462867,0.0001104292,0.0005099826,0.004394482,0.01067688,0.005421745,0.9049723,0.0007211585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961335,0.0003402333,0.00005505951,0.00573542,0.0005686271,0.0005171998,0.0001484705,0.00002002835,0.03127996],"genre_scores_gemma":[0.98101,0.000105582,0.000224813,0.0004036519,0.0002285355,0.00006196343,0.00001935821,0.00001387348,0.01793222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2513261,"threshold_uncertainty_score":0.9294038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04872589411012219,"score_gpt":0.2537128048175462,"score_spread":0.204986910707424,"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."}}