{"id":"W4233872999","doi":"10.4095/301208","title":"Change in Greenhouse Area, 1991 to 2001","year":2010,"lang":"en","type":"report","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse; Environmental science; Computer science; Biology; Agronomy","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":[0.0004916919,0.0004899953,0.0002365304,0.00244292,0.001831217,0.001720617,0.001134462,0.0007685843,0.007455158],"category_scores_gemma":[0.002430841,0.0002591733,0.0003714853,0.005821954,0.0002985371,0.0009041228,0.0007876382,0.001310383,0.002004948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04770578,"about_ca_system_score_gemma":0.03765885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.989774,"about_ca_topic_score_gemma":0.9940274,"domain_scores_codex":[0.9984635,0.00003134407,0.00005363511,0.0001219118,0.001071776,0.0002577408],"domain_scores_gemma":[0.9964699,0.00006372748,0.0002299167,0.00003866502,0.002871407,0.0003264296],"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":[0.000475123,0.0002298366,0.3593386,0.001320424,0.0001652261,0.0006757153,0.001937426,0.00232542,0.002440896,0.00359122,0.5164224,0.1110777],"study_design_scores_gemma":[0.00001945015,0.00002295594,0.7194893,0.0001188228,0.00002258554,0.0001719351,0.0009833764,0.0005244861,0.0007921389,0.00006026143,0.2777631,0.00003159517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1957016,0.005960036,0.0006520426,0.01028798,0.0007234741,0.0004319534,0.6539621,0.0005430907,0.1317378],"genre_scores_gemma":[0.4857664,0.01051836,0.002570869,0.003989073,0.0002506468,0.0004019721,0.3589219,0.0001182565,0.1374626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.989774,"threshold_uncertainty_score":0.3461313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08376232385129193,"score_gpt":0.2831196063417371,"score_spread":0.1993572824904451,"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."}}