{"id":"W4292875861","doi":"","title":"Qu'ont en commun les pizzas surgelées et les graines forestières ? La mesure de l'activité de l'eau !","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007996057,0.000295895,0.0003240411,0.0002226466,0.001471875,0.002100725,0.0005737623,0.0007422874,0.007820309],"category_scores_gemma":[0.0005500582,0.0002215839,0.000257988,0.0002753618,0.001684016,0.001067899,0.0008046735,0.0007063998,0.000933469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002766459,"about_ca_system_score_gemma":0.002687401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048508,"about_ca_topic_score_gemma":0.3387969,"domain_scores_codex":[0.9996479,0.00005360841,0.00000534718,0.0000943874,0.00007283592,0.0001259649],"domain_scores_gemma":[0.9996303,0.00005537344,0.00007719064,0.00003645372,0.00009262832,0.0001080263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001361328,0.0003268071,0.1353841,0.001035354,0.0002916802,0.0006185113,0.007052342,0.01163343,0.4624952,0.05448822,0.005214885,0.3200982],"study_design_scores_gemma":[0.0000805649,0.001145226,0.6924858,0.0003540743,0.0002084962,0.0004806551,0.01586593,0.00908137,0.06661381,0.0189868,0.1945303,0.0001670184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959581,0.004118919,0.01661566,0.003389459,0.0001408164,0.00005616534,0.0002314684,0.0001078509,0.07938157],"genre_scores_gemma":[0.9660054,0.001027487,0.003566349,0.0003225666,0.00002091752,0.00002594736,0.00009506523,0.00005081313,0.02888553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048508,"threshold_uncertainty_score":0.2084811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526386046996746,"score_gpt":0.2260708871420982,"score_spread":0.2108070266721308,"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."}}