{"id":"W4405902666","doi":"10.62617/se554","title":"SWOT analysis of rain tax in Canada","year":2024,"lang":"en","type":"article","venue":"Sustainable Economies","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Business; Economics; Marketing","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":[0.0008697101,0.0003146329,0.0003762008,0.002734494,0.002189127,0.001776864,0.000694107,0.0003319204,0.006852842],"category_scores_gemma":[0.004202098,0.0001919286,0.0004228383,0.007228263,0.000673093,0.0005415484,0.00081305,0.0005174983,0.0007420099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03465581,"about_ca_system_score_gemma":0.03583732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889891,"about_ca_topic_score_gemma":0.9922858,"domain_scores_codex":[0.9990355,0.00007489739,0.00002885608,0.0001016334,0.0004513226,0.0003078349],"domain_scores_gemma":[0.9969174,0.0004267356,0.0001430136,0.0001085466,0.002176309,0.0002280217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005777643,0.0003749877,0.5790511,0.000685066,0.0001793572,0.001621968,0.01162302,0.1155394,0.0036145,0.06559461,0.07851183,0.1426263],"study_design_scores_gemma":[0.00002846715,0.00007438273,0.6602326,0.0002258153,0.00006401231,0.0001455232,0.03973518,0.1516229,0.002168441,0.006162929,0.1393976,0.0001421647],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895547,0.000282356,0.006910387,0.0009092065,0.00003307046,0.0003879719,0.04645861,0.0002443394,0.049227],"genre_scores_gemma":[0.9376675,0.0004027966,0.009561433,0.0001787448,0.000008507409,0.0001701454,0.02690438,0.000131428,0.02497508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03465581,"threshold_uncertainty_score":0.2514467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353219453441088,"score_gpt":0.3125024239607153,"score_spread":0.2771804786166065,"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."}}