{"id":"W3038025894","doi":"","title":"Abstract for Economic Development and Agriculture in India | Bulletin – June Quarter 2011","year":2011,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agriculture; Economic growth; Geography; Agricultural economics; Political science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007504309,0.001220731,0.0008547804,0.003523569,0.001520181,0.002771779,0.0009447982,0.001197796,0.114495],"category_scores_gemma":[0.002128556,0.0004502055,0.0004323563,0.004831709,0.0004374952,0.001609507,0.001312469,0.002834588,0.03329645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00263785,"about_ca_system_score_gemma":0.004470151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05556047,"about_ca_topic_score_gemma":0.1030462,"domain_scores_codex":[0.9995186,0.00004838059,0.0000416307,0.00004635779,0.0002314537,0.0001135868],"domain_scores_gemma":[0.9980295,0.0002608014,0.0001516236,0.0001639066,0.001063647,0.0003304888],"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":[0.00003203578,0.00001454528,0.0002994109,0.0001213845,0.000003397983,0.00001141497,0.00001852721,0.00004733096,0.00004263328,0.0005470798,0.985036,0.01382617],"study_design_scores_gemma":[0.000008460763,0.00001398987,0.008318182,0.0001174936,0.000006911654,0.00001528395,0.00005740719,0.0000293625,0.00008899883,0.0001742085,0.9911642,0.000005585534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005314377,0.1249583,0.0007877345,0.08630786,0.1332179,0.0005407624,0.05736296,0.001273962,0.5902361],"genre_scores_gemma":[0.01077493,0.0334464,0.0003223322,0.002233658,0.01314585,0.0002045706,0.01117844,0.0001782531,0.9285156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.114495,"threshold_uncertainty_score":0.3830239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691114360705875,"score_gpt":0.2030399277072381,"score_spread":0.1761287841001793,"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."}}