{"id":"W6961353138","doi":"10.14288/1.0315394","title":"The Greater Vancouver Chinook","year":2016,"lang":"fr","type":"article","venue":"Open Collections","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chinook wind; Fishing; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004338765,0.0001465372,0.0001351304,0.00003088206,0.00474161,0.003056829,0.0003972094,0.0001001103,0.028098],"category_scores_gemma":[0.0001329495,0.00008382219,0.00007843266,0.0006168949,0.0003409136,0.0006861,0.000280132,0.00006849443,0.0005150982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194418,"about_ca_system_score_gemma":0.0002367319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003259411,"about_ca_topic_score_gemma":0.01999178,"domain_scores_codex":[0.9986233,0.0002142302,0.0002912209,0.0003162274,0.0001999298,0.0003550764],"domain_scores_gemma":[0.999045,0.0001707808,0.0001064935,0.0003697156,0.0001924734,0.0001155767],"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":[0.00004563083,0.00004764805,0.000007059275,0.000004312491,0.00001194983,0.000002667227,0.00008073508,0.00001126594,0.01492476,0.003664341,0.9796975,0.001502174],"study_design_scores_gemma":[0.0007290105,0.00007423886,0.0000624542,0.00009982125,0.00002514004,0.0000206462,0.0001196697,0.0001245402,0.01438221,0.005292415,0.9788976,0.000172279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007276473,0.0002557457,0.006511051,0.01214165,0.0117116,0.0008974274,0.0002648727,0.00006058293,0.9674294],"genre_scores_gemma":[0.0162124,0.0003742753,0.0001641639,0.0004226397,0.0003428436,0.0001359684,0.000002367764,0.00002243171,0.9823229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0275829,"threshold_uncertainty_score":0.9979781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978963639273795,"score_gpt":0.252812703302476,"score_spread":0.2330230669097381,"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."}}