{"id":"W6936592882","doi":"10.58079/ovli","title":"Snow in Montréal (Canada)","year":2023,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Snow cover; Climate change; Snowmelt","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":[0.0002456328,0.0005087815,0.0003584554,0.001369762,0.006112697,0.002292067,0.0006131323,0.000567154,0.0676739],"category_scores_gemma":[0.0007104923,0.0001976355,0.0003397257,0.003656188,0.0005021364,0.0005907554,0.0009119632,0.000895102,0.008267469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02844662,"about_ca_system_score_gemma":0.0425285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945477,"about_ca_topic_score_gemma":0.9983672,"domain_scores_codex":[0.9996175,0.00001980278,0.000009839296,0.00006903245,0.0001131828,0.0001706386],"domain_scores_gemma":[0.9994605,0.00001424317,0.0000272559,0.0000128936,0.000308123,0.0001769287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001278792,0.00004125769,0.04892648,0.0003052106,0.00005844455,0.001147569,0.001370576,0.0004701494,0.0005970726,0.007326604,0.8830076,0.05662113],"study_design_scores_gemma":[0.00002545338,0.00001498415,0.1587803,0.0002318522,0.00001884496,0.0001721282,0.002404194,0.0002166312,0.0002194509,0.0003698435,0.837509,0.0000372442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09066157,0.01493494,0.001475139,0.01697878,0.002810659,0.000382256,0.2913126,0.001053976,0.58039],"genre_scores_gemma":[0.3658,0.007743479,0.002833214,0.004441612,0.0004763352,0.0001973358,0.07725519,0.0005210425,0.5407318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0676739,"threshold_uncertainty_score":0.2263917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955329931531459,"score_gpt":0.2095318006255936,"score_spread":0.179978501310279,"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."}}