{"id":"W2951845190","doi":"","title":"S061 Insect cold hardiness in northern Canada","year":2005,"lang":"ja","type":"article","venue":"日本応用動物昆虫学会大会講演要旨","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hardiness (plants); Insect; Environmental science; Geography; Biology; Agronomy; Botany; Cultivar","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":[0.000221945,0.0001526203,0.0002523739,0.001366249,0.002744802,0.001020427,0.0003816246,0.0002630399,0.005203645],"category_scores_gemma":[0.0005824696,0.0001544399,0.0002519988,0.001900604,0.0005218892,0.0002939549,0.0004039586,0.0003848961,0.0002841655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01927633,"about_ca_system_score_gemma":0.0113327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970934,"about_ca_topic_score_gemma":0.9991575,"domain_scores_codex":[0.9998168,0.00001068496,0.000006481404,0.00003029477,0.00005410158,0.00008168238],"domain_scores_gemma":[0.9990273,0.00005070245,0.0001031605,0.00001785015,0.0005330947,0.0002679904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002950544,0.00003091461,0.9692088,0.00006953652,0.00008682522,0.0002579184,0.001851961,0.0005831813,0.002525265,0.0004955881,0.005109478,0.01948541],"study_design_scores_gemma":[0.000003571382,0.000006698297,0.9964766,0.000007175129,0.000006761643,0.00001874267,0.000747058,0.0001447581,0.00006254514,0.00002409528,0.002497214,0.000004787308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868299,0.0007786725,0.00009874539,0.0004522668,0.0000163697,0.00001346033,0.003201159,0.00002101599,0.008588317],"genre_scores_gemma":[0.9922218,0.0003102859,0.000134125,0.0001081161,0.00000749583,0.000005626622,0.00112907,0.000009633936,0.00607391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01927633,"threshold_uncertainty_score":0.1398603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082190751683236,"score_gpt":0.2101899965702486,"score_spread":0.1893680890534163,"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."}}