{"id":"W3124476395","doi":"10.20944/preprints201808.0226.v1","title":"How is Australia Adapting to Climate Change Based on a Systematic Review?","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of the Sunshine Coast; Australian Agency for International Development","keywords":"Adaptation (eye); Climate change; Systematic review; Stakeholder; Process (computing); Environmental resource management; Climate change adaptation; Environmental planning; Agriculture; Geography; Political science; Computer science; Public relations; Ecology; Psychology; Environmental science; MEDLINE","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":[0.1374642,0.001336649,0.004575104,0.02978695,0.002368638,0.01164968,0.002890774,0.003638008,0.002356756],"category_scores_gemma":[0.379886,0.00193797,0.004409824,0.02660776,0.00350046,0.01214983,0.006109558,0.00246634,0.0004707428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01220834,"about_ca_system_score_gemma":0.07412062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217662,"about_ca_topic_score_gemma":0.04007829,"domain_scores_codex":[0.8195421,0.1018575,0.04494409,0.008199144,0.02311824,0.002339065],"domain_scores_gemma":[0.6731258,0.2359404,0.03574168,0.01374587,0.03846109,0.002985146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00016211,0.00005882534,0.008107754,0.7480192,0.007433062,0.0009453584,0.02608199,0.0008751027,0.001482307,0.01240919,0.01060192,0.1838231],"study_design_scores_gemma":[0.0001001992,0.0001788961,0.01021731,0.870927,0.01463857,0.0006799647,0.01005372,0.000779799,0.0005071752,0.007789279,0.08399173,0.0001362822],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02579465,0.8725898,0.02358832,0.04689624,0.002920049,0.01534555,0.003107885,0.000205538,0.00955197],"genre_scores_gemma":[0.2581337,0.6036506,0.08594519,0.01645106,0.0007184028,0.03165291,0.002062452,0.0001113381,0.001274467],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1374642,"threshold_uncertainty_score":0.7269891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3674831966184146,"score_gpt":0.3731388203855803,"score_spread":0.005655623767165718,"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."}}