{"id":"W7099964794","doi":"","title":"MSc Essay, sciences économiques,Université de Montréal","year":2007,"lang":"en","type":"article","venue":"","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identification (biology); Work (physics); Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001710815,0.0009007857,0.0009876041,0.002615312,0.005005333,0.006857072,0.001096522,0.005580917,0.05349978],"category_scores_gemma":[0.008728783,0.0005616519,0.0006000038,0.003683139,0.002611242,0.002830709,0.001130731,0.00362415,0.00464291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03599494,"about_ca_system_score_gemma":0.01689143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5725788,"about_ca_topic_score_gemma":0.6583323,"domain_scores_codex":[0.9982892,0.0002489251,0.00007711766,0.0002595387,0.0008499881,0.0002752994],"domain_scores_gemma":[0.9967542,0.001232529,0.0001479046,0.0001320255,0.001234804,0.0004984184],"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":[0.00004331302,0.00002305657,0.000640081,0.00008575381,0.00002130079,0.00006852981,0.0002902893,0.0003514402,0.0001823614,0.07509815,0.9070203,0.01617545],"study_design_scores_gemma":[0.00002589749,0.000008804784,0.005271542,0.0002499818,0.00002245327,0.00005549304,0.0004101872,0.0002896209,0.0001693904,0.01270786,0.9807636,0.00002535109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003040804,0.129725,0.0004343085,0.7542791,0.01675058,0.00001758622,0.001663751,0.00005016666,0.09403866],"genre_scores_gemma":[0.09584655,0.09419594,0.0009699875,0.04188524,0.04166962,0.00008238198,0.0006630837,0.0001493724,0.7245378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9465002,"threshold_uncertainty_score":0.8598766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718657054871219,"score_gpt":0.1675406798249402,"score_spread":0.150354109276228,"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."}}