{"id":"W6977160369","doi":"10.6084/m9.figshare.27618983.v1","title":"Will agricultural digitalization deliver relative advantages in quality of work, productivity, profitability, return on investments, and reliability? Perceptions of Canadian producers","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Context (archaeology); Work (physics); Perception; Agriculture; Optimism; Skepticism","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":[0.001482719,0.0007820507,0.0006233809,0.006117038,0.002039917,0.002340763,0.002165127,0.0006460269,0.01208553],"category_scores_gemma":[0.007654442,0.0003647176,0.0009317802,0.01657715,0.0004600061,0.0008838472,0.001174562,0.001040446,0.004116471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0217474,"about_ca_system_score_gemma":0.02145792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884949,"about_ca_topic_score_gemma":0.9926798,"domain_scores_codex":[0.9989171,0.000102577,0.00008340303,0.0001609281,0.0004089815,0.0003270447],"domain_scores_gemma":[0.9940506,0.0009254706,0.0006038885,0.0003587096,0.003619558,0.0004417837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002959006,0.0001018835,0.1390209,0.002560988,0.0001999117,0.0001831192,0.001933209,0.001922372,0.0002889301,0.003625206,0.8224273,0.02744028],"study_design_scores_gemma":[0.0001406063,0.00003133989,0.5060239,0.001242119,0.0001376253,0.0001064421,0.005052952,0.002189657,0.0005500593,0.0005323868,0.4838675,0.0001254527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01126615,0.0003805256,0.0001055302,0.0002838252,0.00001567277,0.00004676977,0.9841675,0.00005147826,0.003682632],"genre_scores_gemma":[0.02676591,0.0006130108,0.000717388,0.0001114317,0.00000773939,0.0002317969,0.967608,0.00002919139,0.003915579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0217474,"threshold_uncertainty_score":0.1577891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104360891753476,"score_gpt":0.251306693822057,"score_spread":0.2302630849045222,"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."}}