{"id":"W1543954725","doi":"","title":"Agricultural Resources, Agricultural Production and Settlement at Confederation","year":2002,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Livelihood; Agriculture; Business; Agricultural economics; Diversification (marketing strategy); Clearance; Production (economics); Agricultural science; Geography; Economics","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":[0.0002652141,0.0002423807,0.0002768,0.001122022,0.01290658,0.004408983,0.001100571,0.0005306218,0.02499277],"category_scores_gemma":[0.0009168163,0.0001667852,0.0001680404,0.003015514,0.003238647,0.0009006406,0.003121035,0.001004781,0.0012413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02978591,"about_ca_system_score_gemma":0.0274004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985351,"about_ca_topic_score_gemma":0.9956528,"domain_scores_codex":[0.9990581,0.00007718751,0.00001490967,0.000057601,0.000167086,0.0006251125],"domain_scores_gemma":[0.9991304,0.00002508984,0.00004961142,0.00001673725,0.0001830039,0.0005951189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001722412,0.0004681612,0.4808009,0.0002458372,0.00005252838,0.006302943,0.1053853,0.001098908,0.0008586951,0.1016591,0.0807555,0.2222],"study_design_scores_gemma":[0.00002245348,0.00005441025,0.5753735,0.0004335728,0.00001503543,0.0008639623,0.1476252,0.0002815491,0.0001357123,0.003491096,0.2716497,0.00005385642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.738646,0.004513071,0.0002538702,0.005152145,0.0001939001,0.0000760894,0.001940629,0.00004642916,0.2491779],"genre_scores_gemma":[0.9307703,0.002101288,0.0001603739,0.0003939529,0.0000207216,0.0000199841,0.0004288678,0.00002283995,0.06608163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02978591,"threshold_uncertainty_score":0.2161129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005708541277964375,"score_gpt":0.1413806962167905,"score_spread":0.1356721549388261,"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."}}