{"id":"W7014882773","doi":"","title":"Quebec summer and winter.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Natural (archaeology); Agency (philosophy)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003999978,0.000110492,0.0001113003,0.00003990656,0.0002366914,0.0000466143,0.0002495845,0.00004077682,0.001845762],"category_scores_gemma":[0.00001026813,0.0001037941,0.00003793554,0.0002297721,0.0003964524,0.001286623,0.0005670271,0.0000756056,0.000453729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000039682,"about_ca_system_score_gemma":0.000007798735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207743,"about_ca_topic_score_gemma":0.001718108,"domain_scores_codex":[0.9992155,0.00004691323,0.00004948611,0.000296405,0.0001497532,0.0002419121],"domain_scores_gemma":[0.9996151,0.00004560992,0.00003433542,0.0001788969,0.000002408488,0.0001236377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002188761,0.00003043138,0.6237754,0.000006327989,0.000009951869,0.00001606784,0.000708953,0.00001626493,0.00005303831,0.002236199,0.3709556,0.002169816],"study_design_scores_gemma":[0.0002039123,0.00005626033,0.4577215,0.00001003763,0.00001229069,2.278703e-7,0.001725596,0.00001708071,0.0006220708,0.0002155853,0.539224,0.0001914889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220075,0.00000488128,0.000116014,0.04458853,0.00007720885,0.00008001066,0.000003797023,0.0001198933,0.1330022],"genre_scores_gemma":[0.8618978,0.00009756319,0.0006149438,0.0005923806,0.00002214693,1.820085e-7,0.000002321452,0.000007643454,0.136765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1682684,"threshold_uncertainty_score":0.9990667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006482384303886854,"score_gpt":0.1773192832106771,"score_spread":0.1708368989067903,"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."}}