{"id":"W4301761883","doi":"","title":"Describing and locating cropping systems at a regional scale","year":2011,"lang":"en","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Scale (ratio); Cropping; Geography; Computer science; Environmental science; Cartography; Archaeology; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004606619,0.0003614341,0.0001658562,0.00112674,0.001623071,0.003902031,0.00112036,0.0009012582,0.007849481],"category_scores_gemma":[0.001383929,0.0002681434,0.00022323,0.003597547,0.003153912,0.003759128,0.001461522,0.0007971206,0.0008643187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003034305,"about_ca_system_score_gemma":0.001858711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02957857,"about_ca_topic_score_gemma":0.09049691,"domain_scores_codex":[0.9996934,0.0001567551,0.0000113774,0.0000498042,0.00004598231,0.00004276105],"domain_scores_gemma":[0.9997726,0.0001324352,0.00003265321,0.00002971096,0.0000215737,0.00001096757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003806494,0.00002105372,0.00672223,0.0004680427,0.00001912272,0.00189282,0.1360199,0.00922944,0.004556329,0.7087785,0.008555927,0.1236986],"study_design_scores_gemma":[0.000005748639,0.00003682167,0.01653017,0.0006309025,0.00003934705,0.001367529,0.1658849,0.00640569,0.003165184,0.1024852,0.703402,0.00004654722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1782537,0.008834673,0.140063,0.00265981,0.0001576251,0.0001732219,0.0005243601,0.000306225,0.6690274],"genre_scores_gemma":[0.8466262,0.004386981,0.06599306,0.0001266086,0.00002549216,0.00009137559,0.0002639763,0.0002188759,0.08226734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02957857,"threshold_uncertainty_score":0.0588128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060275080080146,"score_gpt":0.2052228893099807,"score_spread":0.1449478092298347,"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."}}