{"id":"W3024180666","doi":"10.17118/11143/18887","title":"Où trouver du sirop d’érable en 2100 ?","year":2019,"lang":"fr","type":"article","venue":"˜Le œclimatoscope","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009643781,0.0003457455,0.0002099373,0.0005791724,0.004609065,0.003239347,0.0005969469,0.001191072,0.0308011],"category_scores_gemma":[0.001290998,0.0001994208,0.0002403936,0.0006588833,0.001910546,0.002757927,0.00141548,0.002181849,0.004729419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01216489,"about_ca_system_score_gemma":0.01479596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7243958,"about_ca_topic_score_gemma":0.8752554,"domain_scores_codex":[0.9994019,0.00003882494,0.00001029301,0.0001050785,0.0001627742,0.0002811437],"domain_scores_gemma":[0.9992839,0.00002358065,0.00004433465,0.00002791835,0.0003671732,0.0002531658],"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":[0.0005167217,0.0001196688,0.08490869,0.000789758,0.00005585749,0.002166034,0.03674705,0.0004564198,0.00480926,0.1918411,0.4024846,0.2751048],"study_design_scores_gemma":[0.000004648816,0.00003354101,0.03323119,0.00018529,0.000008476129,0.0001401914,0.008704863,0.00008404976,0.0003473622,0.0021101,0.9551265,0.00002378581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2481485,0.01502746,0.002731452,0.06593245,0.003028093,0.0001036839,0.006337614,0.0002139585,0.6584768],"genre_scores_gemma":[0.5406451,0.008442435,0.001781623,0.007434295,0.000256969,0.0000518472,0.002642282,0.0002026664,0.4385429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2756042,"threshold_uncertainty_score":0.5544546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008278310931181485,"score_gpt":0.2127283899021777,"score_spread":0.2044500789709962,"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."}}