{"id":"W4311561537","doi":"10.1163/9789004322714_cclc_2020-0063-0358","title":"MANITOBA INVESTS $33 MILLION IN DAMAGE PREVENTION AND CLIMATE RESILIENCY PROJECTS","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.001323745,0.002344474,0.001364628,0.007730774,0.00161566,0.002872031,0.003211164,0.002037294,0.06827895],"category_scores_gemma":[0.008958345,0.001351734,0.001336457,0.01651543,0.0004801176,0.0009753918,0.001963524,0.002112359,0.0514323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006406118,"about_ca_system_score_gemma":0.01777317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.740729,"about_ca_topic_score_gemma":0.8513731,"domain_scores_codex":[0.9987697,0.0001281906,0.0001103091,0.0001974708,0.0004486735,0.0003457007],"domain_scores_gemma":[0.9946242,0.0007442285,0.000593347,0.0006323913,0.002578242,0.0008275813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000357231,0.00002162993,0.002102145,0.0002816474,0.00002709206,0.00001252658,0.00002358861,0.0002696839,0.00002502921,0.0004224722,0.9952969,0.001481622],"study_design_scores_gemma":[0.0002992422,0.0000194866,0.02245539,0.0005619373,0.00005732452,0.00002723876,0.0002944428,0.0007027148,0.0002944324,0.0007815138,0.9744676,0.00003866066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000136007,0.00002616355,0.0000132683,0.00005871247,0.00001023401,0.000007679669,0.9990349,0.00004382804,0.0006693084],"genre_scores_gemma":[0.0007971303,0.00008271325,0.0001540227,0.00006937351,0.000006094837,0.00008481237,0.9956793,0.00003528994,0.003091251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.259271,"threshold_uncertainty_score":0.5215958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0649838900250222,"score_gpt":0.3157683865610432,"score_spread":0.250784496536021,"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."}}