{"id":"W2327942132","doi":"10.4141/cjss08400","title":"Régis Simard Symposium","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal of Soil Science","topic":"Political and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002159572,0.0001435291,0.0002867391,0.0002883957,0.00144564,0.0004183918,0.001153736,0.000147727,0.0004504128],"category_scores_gemma":[0.0007853859,0.0001390724,0.000168777,0.001591561,0.006177534,0.001242591,0.00001331044,0.0003698092,0.0001431588],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168183,"about_ca_system_score_gemma":0.01240722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1475606,"about_ca_topic_score_gemma":0.1439876,"domain_scores_codex":[0.9971036,0.0001338748,0.0004153676,0.0001970268,0.0008138441,0.001336312],"domain_scores_gemma":[0.9952165,0.00008521772,0.0002059807,0.0001364404,0.0006407496,0.003715148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005515748,0.00006838777,0.004839116,0.00001252346,0.00001725839,0.0005805742,0.03634511,0.0001241275,0.0004302562,0.8508568,0.01511695,0.0916034],"study_design_scores_gemma":[0.0002821852,0.0005452032,0.04610778,0.0003235649,0.00007546453,0.00008884534,0.006694255,0.0001212824,0.0006166543,0.1371207,0.8075243,0.0004997164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3380055,0.009586548,0.00003433434,0.2525405,0.006775007,0.0000821354,0.0000206756,0.000009415293,0.3929458],"genre_scores_gemma":[0.9807789,0.0004102041,0.0001554877,0.00297082,0.001871345,1.743044e-7,1.172119e-7,0.000004982355,0.013808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7924074,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029762795018339,"score_gpt":0.2873556564375259,"score_spread":0.2670580284873425,"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."}}